Books by Subject

Statistics

  • Digital
    Paul Teetor.
    ProQuest Safari2011
  • Digital
    M. Alma Rodriguez, Ronald S. Walters, and Thomas W. Burke, editors.
    Springer2013
    Introduction / M. Alma Rodriguez -- History of MD Anderson's tumor registry / Sarah H. Taylor -- Statistical methods / Geoffrey G. Giacco, Sarah H. Taylor and Kenneth R. Hess -- Breast cancer / Aman U. Buzdar ... [et al.] -- Prostate cancer / Deborah A. Kuban ... [et al.] -- Non-small cell lung cancer / Ritsuko Komaki, Anne S. Tsao, and Reza J. Mehran -- Small cell lung cancer / Frank V. Fossella -- Colon cancer / Cathy Eng, Patrick Lynch, and John Skibber -- Ovarian cancer / Robert L. Coleman and David M. Gershenson -- Cervical cancer / Patricia J. Eifel and Charles Levenback -- Endometrial cancer / Thomas Burke ... [et al.] -- Pancreatic cancer (exocrine) / Jason Fleming ... [et al.] -- Kidney cancer / Scott E. Delacroix Jr. ... [et al.] -- Bladder cancer / Robert S. Svatek ... [et al.] -- Cutaneous melanoma / Jeffrey E. Gershenwald, Geoffrey G. Giacco, and Jeffrey E. Lee -- Liver cancer / Evan S. Glazer and Steven A. Curley -- Esophageal cancer / Linus Ho ... [et al.] -- Gastric cancer / Alexandria T. Phan and Paul F. Mansfield -- Acute myeloid leukemia / Emil J. Freireich -- Chronic lymphocytic leukemia/small lymphocytic lymphoma / Apostolia-Maria Tsimberidou and Michael J. Keating -- Hodgkin lymphoma / Michelle Fanale ... [et al.] -- Non-hodgkin indolent B-cell lymphoma / Sattva S. Neelapu -- Non-hodgkin aggressive B-cell lymphoma / M. Alma Rodriguez -- Multiple myeloma / Donna Weber and Raymond Alexanian -- Head and neck cancer / Ehab Hanna ... [et al.] -- Thyroid cancer / Steven I. Sherman, Nancy Perrier, and Gary L. Clayman -- Soft tissue sarcomas / Vinod Ravi, Raphael Pollock, and Shreyaskumar R. Patel -- Sarcomas of bone / Valerae Lewis.
  • Digital
    Jung W. Suh, Youngmin Kim.
    ScienceDirect2014
    "Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers' projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/ Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge -- Explains the related background on hardware, architecture and programming for ease of use -- Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects."--Provided by publisher.
  • Digital
    Olivia Yueh-Wen Liao.
    When developing new drugs, Phase I and II trials are commonly conducted to determine the dose of the new treatment in preparation for the subsequent confirmatory Phase III trial. However, because these early-phase trials usually do not have large enough sample sizes to decide which dosage level or treatment regimen is the best, several of them may arise as candidates for the confirmatory Phase III trial. Conventional fixed sample size designs that carry out all the treatment arms of interest are obviously expensive. Therefore, the pharmaceutical industry is increasingly interested in adaptive designs that can use information acquired during the course of the trial to update certain of the design features. In this thesis we explore several existing designs and discuss their pros and cons. We then propose one that shares the flexibility of Bayesian adaptive designs, while still being able to maintain the frequentist type I error probability. We develop an asymptotic theory for efficient outcome-adaptive randomization schemes and optimal stopping rules. Our approach consists of developing asymptotic lower bounds for the expected sample sizes from the treatment arms and the control arm, and using generalized sequential likelihood ratio procedures to achieve these bounds. These allow us to allocate patients and study resources efficiently by using outcome-adaptive randomization schemes, or by arm suspension/selection if fixed randomization is used. We also derive an adaptive test with a p-value that can be evaluated by Monte Carlo simulation based on an ordering scheme of the sample space. We then show that the approach can also be applied to the closely related problem of multi-stage testing of multiple hypotheses.
  • Digital
    edited by Mohit Bhandari, Bernd Robioneck ; associate editor, Emil Schemitsch ; managing editor, Sheila Sprague ; with contributions by Volker Alt ... [et al.].
    Thieme MedOne Education2012
    1. Factorial Randomized Trials -- Summary -- Introduction -- Randomized clinical trial design strategies with multiple interventions -- Selecting a factorial randomized design -- Conclusion -- 2. Expertise-based randomized trials -- Summary -- Introduction -- Conventional RCT design -- Expertise-based RCT design -- Challenges of expertise-based RCTs -- Independent assessor -- Balanced and consecutive or random contributions to screening pool -- Perceived equivalence between practices -- Conclusion -- 3. Randomization systems and technology -- Summary -- Introduction -- Methods of patient allocation -- Other considerations -- Conclusion -- 4. Blinding and concealment -- Summary -- Introduction -- Concealment -- Blinding -- Conclusion -- 5. Composite outcome in orthopaedics: understanding the concepts -- Summary -- Introduction -- Rationale for use of a composite outcome -- Limitations of using composite outcomes -- Guidelines for creating a "good" composite outcome -- Reporting and interpreting composite outcomes -- Conclusion -- 6. Adjudication of outcomes-systems and approaches -- Summary -- Introduction -- Importance of adjudication -- Process of adjudication -- Existing methods of adjudication -- Web-based adjudication -- Conclusion -- 7. Subgroup analyses -- Summary -- Introduction -- Subgroup analysis defined -- Design of a subgroup analysis -- Reporting -- Interpretation -- Conclusion -- 8. Trial management-advance concepts and systems -- Summary -- Introduction -- Phases of clinical trials -- Common considerations in conducting a clinical trial -- Trial committees -- The search for funding -- Conclusion 9. Case-control studies -- Summary -- Introduction -- Definition of a case-control study -- Conclusion -- 10. Cohort studies -- Summary -- Introduction -- Cohort studies in the hierarchy of evidence -- Types of cohort study designs -- Methods for reducing confounding and assessing causality -- A checklist to evaluate or improve the strength of evidence -- Conclusion --; 11. Survey Design -- Summary -- Introduction -- Identifying a research question -- Survey development -- Survey design -- Using exiting surveys -- survey validataion -- Pilot testing -- Survey administration -- Ethical considerations -- Financial considerations -- Conclusion -- 12. Qualitative studies -- Summary -- Introduction -- What is qualitative research? -- How is qualitative research done? -- Conclusion -- 13. Economic analysis -- Summary -- Introduction -- Theoretical background -- Conducting health economics studies -- Conclusion -- 14. Literature searches -- Summary -- Introduction -- When to conduct a literature search -- How to conduct a literature search -- Study selection -- Assessing methodological quality of studies -- Data extraction and analysis -- Conclusion -- 15. Summary -- Introduction -- the P value does not assess the magnitude of a treatment effect -- The challenge of comparing results across studies -- Types of effect sizes -- Confidence intervals for effect sizes -- Use of effect size in meta-analysis -- Conclusion -- 16. Fixed effects versus random effects -- Summary -- Introduction -- the data pool: fixed effects versus random effects -- Deciding which model to use -- Conclusion -- 17. Heterogeneity -- Summary -- Introduction -- Heterogeneity defined -- Identifying heterogeneity -- Dealing with heterogeneity -- Conclusion -- 18. Uncovering publicatiion bias -- Summary -- Introduction -- Authors and publication bias -- Detecting and adjusting for publication bias -- Minimizing the effect of publication bias -- A possible solution: trial registers -- Conclusion -- 19. Statiecal pooling - programs and systems -- Summary -- Introduction -- Selectin the appropriate programs and systems: factors to consider --Review of programs and systems -- Types of programs and systems -- Recommendations -- Conclusion -- 20. Meta-analysis of observational studies -- Summary -- Introduction -- The observational data dilemma -- Conclusion -- 21. Meta-regression -- Summary -- Introduction -- Heterogeneity and meta-regression -- Meta-regression mechanics -- Interpreting a meta-regression -- Limitations of meta-regression -- Conclusion -- 22. Preparing a statistical analysis plan -- Summary -- Introduction -- Data management -- Statistical procedures -- Data safety and monitoring board -- Sample size -- Interim analysis -- Reports to investigators -- Sensitivity analysis -- Tables of presentation and publication -- Software -- Reporting guidelines -- General policies -- Privacy considerations -- Apendices -- What is in the literature about SAP? -- Conclusion --; 24. Survival analysis -- Summary -- Introduction -- Documenting time-to-event (survival) data -- the rationale for time-to-event (survival) analysis -- Methods for survival analysis -- Comparing groups -- Practical considerations in the desin of time-to-event studies -- Conclusion -- 25. Interim analyses in randomized trials -- Summary -- Introduction -- Interim analysis defined -- Design of an interim analysis -- Data monitoring committees -- Consequences of stopping early for benefit -- Conclusion -- 26. Conflicts of interest reporting -- Summary -- Introduction -- Legal implications -- Types of conflict of interest -- Who should disclose conflicts of interest? -- When must conflicts of interest be disclosed? -- Guidelines and recommendations for disclosure -- Why must personal financial interests be disclosed? -- Alternatives to disclosure policies -- Conclusion -- 27. Authorship-modern approaches and reporting -- Summary -- Introduction -- Academic stream -- Educational stream -- Industrial stream -- Popular media stream -- Conclusion -- 28. Randomized trials reporting checklists -- Summary -- Introduction -- Consort statement -- Nonpharmacological trials -- NPT extension to consort statement -- CLEAR NPT -- Conclusion -- 29. Observational studies reporting checklists -- Summary -- Introduction -- Checklist for observational studies: the STROBE statement -- Guide to investigators: how to used the STROBE statement -- The STROBE statement: explanations of checklist items -- Conclusion -- 30. Meta-analysis reporting checklists -- Summary -- Introduction -- Meta-analysis reporting checklists -- Conclusion -- Resources and contacts for surgical research -- Summary -- Introduction -- Mentorship -- Graduate programes -- Online courses -- Textbooks and journals -- Courses and workshops -- Contract research organizations -- Conclusion -- Glossary of terms.
  • Digital
    Fernando Amat Gil.
    Cryo-Electron tomography (CET) is the only imaging technology capable of visualizing the 3D organization of intact bacterial whole cells at nanometer resolution in situ. However, quantitative image analysis of CET datasets is extremely challenging due to very low signal to noise ratio (well below 0dB), missing data and heterogeneity of biological structures. In this thesis, we present a probabilistic framework to align CET images in order to improve resolution and create structural models of different biological structures. The alignment problem of 2D and 3D CET images is cast as a Markov Random Field (MRF), where each node in the graph represents a landmark in the image. We connect pairs of nodes based on local spatial correlations and we find the "best'' correspondence between the two graphs. In this correspondence problem, the "best'' solution maximizes the probability score in the MRF. This probability is the product of singleton potentials that measure image similarity between nodes and the pairwise potentials that measure deformations between edges. Well-known approximate inference algorithms such as Loopy Belief Propagation (LBP) are used to obtain the "best'' solution. We present results in two specific applications: automatic alignment of tilt series using fiducial markers and subtomogram alignment. In the first case we present RAPTOR, which is being used in several labs to enable real high-throughput tomography. In the second case our approach is able to reach the contrast transfer function limit in low SNR samples from whole cells as well as revealing atomic resolution details invisible to the naked eye through nanogold labeling.
  • Digital
    [edited by] Dongmei Chen, Bernard Moulin, Jianhong Wu.
    Wiley2015
    Introduction to analyzing and modeling spatial and temporal dynamics of infectious diseases / Dongmei Chen, Bernard Moulin, Jianhong Wu -- Modeling the spread of infectious diseases : a review / Dongmei Chen -- West Nile virus : a narrative from bioinformatics and mathematical modeling studies / U.S.N. Murty, Amit Kumar Banerjee and Jianhong Wu -- West Nile virus risk assessment and forecasting using statistical and dynamical models / Ahmed Abdelrazec, Yurong Cao, Xin Gao, Paul Proctor, Hui Zheng, and Huaiping Zhu -- Using mathematical modeling to integrate disease surveillance and global air transportation data / Julien Arino and Kamran Khan -- Mathematical modeling of malaria models with spatial effects / Daozhou Gao and Shigui Ruan -- Avian influenza spread and transmission dynamics / Lydia Bourouiba, Stephen Gourley, Rongsong Liu, John Takekawa, and Jianhong Wu -- Analyzing the potential impact of bird migration on the global spread of H5N1 avian influenza (2007-2011) using spatio-temporal mapping methods / Heather Richardson and Dongmei Chen -- Cloud computing-enabled cluster detection using a flexibly shaped scan statistic for real-time syndromic surveillance / P. Belanger and K. Moore -- Mapping the distribution of malaria : current approaches and future directions / L.R. Johnson, K.D. Lafferty, A. McNally, E. Mordecai, K. Paaijmans, S. Pawar, S.J. Ryan -- Statistical modeling of spatio-temporal infectious disease transmission / Rob Deardon, Xuan Fang and Grace Pui Sze Kwong -- Spatio-temporal dynamics of schistosomiasis in China : bayesian-based geostatistical analysis / Zhi-Jie Zhang -- Spatial analysis and statistical modeling of 2009 H1N1 pandemic in the greater Toronto area / Frank Wen, Dongmei Chen, Anna Majury -- West Nile virus mosquito abundance modeling using a non-stationary spatio-temporal geostatistics / Eun-Hye Yoo, Dongmei Chen, Curtis Russel -- Spatial pattern analysis of multivariate disease data / Cindy X. Feng and Charmaine Dean -- The zoonosismags project (part 1) : population-based geosimulation of zoonoses in an informed virtual geographic environment / Bernard Moulin, Mondher Bouden, Daniel Navarro -- Zoonosismags project (part 2) : complementarity of a rapid-propotyping tool and of a full-scale geosimulator for population-based geosimulation of zoonoses / Bernard Moulin, Daniel Navarro, Dominic Marcotte, Said Sedrati -- Web-mapping and behaviour pattern extraction tools to assess lyme disease risk for humans in peri-urban forests / Hedi Haddad, Bernard Moulin, Franck Manirakiza Christelle Maha, Vincent Godard and Samuel Mermet -- An integrated approach for communicable disease geosimulation based on epidemiological, human mobility and public intervention models / Hedi Haddad, Bernard Moulin, Marius Thariault -- Smartphone trajectories as data sources for agent-based infection spread modeling / M.R. Friesen and R.D. McLeod.
  • Digital
    Erick Suárez, Cynthia M. Pérez, Roberto Rivera, and Melissa N. Martínez.
    Wiley2017
    Basic Concepts for Statistical Modeling -- Introduction to Simple Linear Regression Models -- Matrix Representation of the Linear Regression Model -- Evaluation of Partial Tests of Hypotheses in a MLRM -- Selection of Variables in a Multiple Linear Regression Model -- Correlation Analysis -- Strategies for Assessing the Adequacy of the Linear Regression Model -- Weighted Least-Squares Linear Regression -- Generalized Linear Models -- Poisson Regression Models for Cohort Studies -- Logistic Regression in Case-Control Studies -- Regression Models in a Cross-Sectional Study -- Solutions to Practice Exercises.
  • Digital
    Jos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Center and the Department of Health Sciences of the Vrije Universteit, Amsterdam.
    Cambridge2013
    1. Introduction -- 2. Study design -- 3. Continuous outcome variables -- 4. Continuous outcome variables, relationships with other variables -- 5. The modelling of time -- 6. Other possibilities for modelling longitudinal data --7. Dichotomous outcome variables -- 8. Categorical and 'count' outcome variables -- 9. Analysis data from experimental studies -- 10. Missing data in longitudinal studies -- 11. Sample size calculations -- 12. Software for longitudinal data analysis -- 13. One step further.
  • Digital
    Xiao-Hua Zhou, Chuan Zhou, Danping Liu, Xiaobo Ding.
    ProQuest Ebook Central2014
    Missing data concepts and motivating examples -- Overview of methods for dealing with missing data -- Design considerations in the presence of missing data -- Crosssectional data methods -- Longitudinal data methods -- Survival analysis under ignorable missingness -- Nonignorable missingness -- Analysis of randomized clinical trials with noncompliance.
  • Digital
    Andrea S. Foulkes.
    Springer2009
  • Digital
    Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst.
    TandFonline2017
    I. Introductory material -- II. Contemporary surrogate endpoint evaluation methods : multiple-trial methods -- III. Software tools -- IV. Additional considerations and further topics.
  • Digital/Print
    Beth Dawson, Robert G. Trapp.
    Digital : AccessMedicine2004
    Print2004
  • Digital
    Sergio Bacallado de Lara.
    A host of sequential models in probability and statistics are characterized by time reversibility, from Markov chain Monte Carlo samplers to queueing networks. In physics, this property arises naturally from Hamiltonian mechanics. Molecular dynamics simulations are computer experiments which approximate classical mechanics in a system of interacting particles; in consequence, they are frequently reversible. Recent technical progress has made it possible to investigate the dynamics of biological macromolecules in silico using molecular dynamics simulations. An active area of research within this field is concerned with modeling the output of a simulation stochastically. This dissertation deals with the problem of incorporating knowledge of reversibility into the estimation and testing of stochastic models. We define a range of Bayesian inference algorithms, which are motivated by specific problems in the analysis of molecular dynamics simulations.
  • Digital
    Kevin Bretonnel Cohen, Dina Demner-Fushman.
    ProQuest Ebook Central2014
    Biomedical Natural Language Processing" is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
  • Digital
    Joseph V. Tranquillo.
    Atypon2014
    Biomedical Signals and Systems is meant to accompany a one-semester undergraduate signals and systems course. It may also serve as a quick-start for graduate students or faculty interested in how signals and systems techniques can be applied to living systems. The biological nature of the examples allows for systems thinking to be applied to electrical, mechanical, fluid, chemical, thermal and even optical systems. Each chapter focuses on a topic from classic signals and systems theory: System block diagrams, mathematical models, transforms, stability, feedback, system response, control, time and frequency analysis and filters. Embedded within each chapter are examples from the biological world, ranging from medical devices to cell and molecular biology. While the focus of the book is on the theory of analog signals and systems, many chapters also introduce the corresponding topics in the digital realm. Although some derivations appear, the focus is on the concepts and how to apply them. Throughout the text, systems vocabulary is introduced which will allow the reader to read more advanced literature and communicate with scientist and engineers. Homework and Matlab simulation exercises are presented at the end of each chapter and challenge readers to not only perform calculations and simulations but also to recognize the real-world signals and systems around them.
  • Print
    Wayne W. Daniel.
    Status: Not Checked OutLane Catalog Record
  • Print
    Geoffrey R. Norman, David L. Streiner.
    Status: Not Checked OutLane Catalog Record
    The nature of data and statistics -- Analysis of variance -- Regression and correlation -- Nonparametric statistics -- Reprise.
  • Digital
    Christophe Lalanne, Mounir Mesbah.
    ScienceDirect2017
    1. Language elements -- 2. Simple descriptive statistics -- 3. Measures of association, comparison of means or proportions -- 4. Correlation, linear regression -- 5. Logistic regression -- 6. Survival curves, cox regression -- Appendix A. Introduction to SAS studio -- Appendix B. Introduction to SAS Macro -- Appendix C. Introduction to SAS IML.
  • Digital
    Daryl S. Paulson.
    Springer2008
  • Digital
    Francesco Sardanelli, Giovanni Di Leo.
    Springer2009
  • Digital
    Frank H. Stephenson.
    ScienceDirect2010
    Chapter 1. Scientific notation and metric prefixes -- Chapter 2. Solutions, mixtures, and media -- Chapter 3. Cell growth -- Chapter 4. Working with bacteriophages -- Chapter 5. Nucleic acid quantification -- Chapter 6. Labeling nucleic acids with radioisotopes -- Chapter 7. Oligonucleotide synthesis -- Chapter 8. The polymerase chain reaction (PCR) -- Chapter 9. The real-time polymerase chain reaction (RT-PCR) -- Chapter 10. Recombinant DNA -- Chapter 11. Protein -- Chapter 12. Centrifugation -- Chapter 13. Forensics and paternity.
  • Digital
    Jeremy J. Shen.
    In this thesis, we present advancements in some change-point problems and their applications to genomic problems that arises from massively parallel sequencing. Change-point problems are concerned with abrupt changes in the generating distribution of a stochastic process evolving over time, space, or any ordered set. This thesis focuses on a number of change-point models and inference problems on point processes. We provide a change-point model and efficient algorithms to detect change-points in relative intensity of non-homogeneous Poisson processes. A model selection approach is constructed in the spirit of classical Baysian Information Criterion, but tailored to the irregularity of change-point problems. We review an array of inference problems surrounding the change-point construct; and propose a point-wise Bayesian credible interval for the parameter of the generating distribution for exponential family. An asymptotic result on the relationship between frequentist and Baysian change-point estimator is shown. We investigate how data characteristics, such as sample size, signal strength, and change-point location, influences the inference procedures through a simulation study. On the application front, modern massively parallel sequencing generates enormous and rich data with much systematic and random noise. We provide a survey of the sequencing technologies and some statistical challenges in various steps of sequencing data analysis. A recent application of sequencing in population and tumor genomics is the profiling of genome copy number and detection of copy number variations across sample. We demonstrate in this thesis that sequencing reads can be viewed naturally as a stochastic process along the genome. Copy number variants are modeled as abrupt jumps in the read intensity function. This modeling assumption resembles the biological reality of mutations that leads to copy number change. We demonstrate the application of change-point methods on actual sequencing data. Our method is found to compare favorably against a commonly used existing method in a spike-in simulation study. We lastly discuss a direction in which our change-point methods can be extended. It is often of interest to find recurrent copy number variants among a collection of biological samples. We review existing array-based multi-sample copy number profiling methods. Estimation and model selection procedures for the multi-sample sequencing setting are derived as extensions of our two-sample methods. A key challenge is the treatment of carrier status, which is whether a sample carries the recurrent variant of question. We present two sets of methods, one based on the assumption that all samples are carriers and the other based on a known carrier set. The statistical characteristics of the two methods are compared in a number of simulation scenarios.
  • Digital
    Gloria P. Craig.
    Ovid2009
  • Digital
    edited by Mohit Bhandari, Anders Joensson.
    Thieme MedOne Neurosurgery2009
    Thieme MedOne Education2009
    Why we need clinical research -- Historical perspectives of clinical research -- Evidence-based surgery defined -- Myths and misconceptions about evidence-based medicine -- Becoming an evidence-based surgeon -- Principles of clinical research -- Various research design classifications -- Hierarchy of research studies: from case series to meta-analyses -- Randomized and nonrandomized studies -- Understanding research study design -- Clinical case series -- Case-control study -- Prospective cohort study -- Randomized trial -- Meta-analysis -- Economic analysis -- Diagnostic study -- Reliability study -- Understanding outcomes measurement -- Classification of outcomes -- What makes an outcome measure useful -- Common generic outcome scales for surgeons -- Common disease-specific outcome scales for surgeons -- Understanding treatment effects -- Common ways to present treatment effects -- Confidence interval defined -- P value defined -- Errors in hypothesis testing -- Clinical versus statistical significance -- Practice of clinical research -- Planning a research study -- Requirements of a clinical research proposal -- Identification of a good research question -- How to conduct a comprehensive literature search -- Guide to planning a randomized trial -- Guide to planning a nonrandomized study -- Study sample size -- How to budget for a research study -- Research ethics, review boards, and consent forms -- Regulatory issues in the evaluation of a new device or drug -- Strategies in research funding -- Conducting a research study -- Roles of the research team -- Role of a central methods center -- Role of a data monitoring committee -- Need for separate adjudication of outcomes -- Data management -- Study case report forms -- Study manual of operations -- Review of basic statistical principles -- Statistical means and proportions -- Regression analysis -- Analysis of variance -- Correlation defined.
  • Digital
    edited by Alex Dmitrienko, Erik Pulkstenis.
    TandFonline2017
  • Digital
    Michael O'Kelly, Bohdana Ratitch.
    Wiley2014
    "This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluable. The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team can work to prevent missing data, and present the reader with approaches to address missing data effectively. The book is illustrated throughout with realistic case studies and worked examples, and presents clear and concise guidelines to enable good planning for missing data. The authors show how to handle missing data in a way that is transparent and easy to understand for clinicians, regulators and patients. New developments are presented to improve the choice and implementation of primary and sensitivity analyses for missing data. Many SAS code examples are included - the reader is given a toolbox for implementing analyses under a variety of assumptions"--Provided by publisher.
  • Digital/Print
    Glenn A. Walker, Jack Shostak.
    Digital : ProQuest Safari2010
    Print2010
    Introduction & basics -- Topics in hypothesis testing -- The data set TRIAL -- The one-sample t-test -- The two-sample t-test -- One-way ANOVA -- Two-way ANOVA -- Repeated measures analysis -- The crossover design -- Linear regression -- Analysis of covariance -- The Wilcoxon signed-rank test -- The Wilcoxon rank-sum test -- The Kruskal-Wallis test -- The binomial test -- The Chi-square test -- Fisher's exact test -- McNemar's test -- The Cochran-Mantel-Haenszel test -- Logistic regression -- The log-rank test -- The Cox proportional hazards model -- Exercises.
  • Digital
    Francesco Chiappelli, editor ; Xenia Maria Caldeira Brant, Corazon B. Cajulis, co-editors.
    Springer2012
    Recent trends in health care across the United States and internationally have emphasized a novel approach that consists in comparing the effectiveness and efficacy of treatment interventions with a patient-centered emphasis (i.e., evidence-based health care), while ensuring cost constraints, maximizing benefits, and minimizing risks. In this book, experts in comparative effectiveness and efficacy research and analysis for practice (CEERAP) in health care in general address a range of topical issues. The emphasis is on implications for endodontics and nursing, both of which are considered in a series of detailed chapters. Commonalities and differences among CEERAP, utility-based and logic-based analysis and decision-making, and evidence-based and patient-centered practice are defined and discussed. The book concludes by examining applications for CEERAP in developing patient-centered optimal treatment interventions for the next decade.
  • Print
    Wendy L. Martinez, Angel R. Martinez.
  • Digital
    Yadolah Dodge.
    Springer2008
  • Digital
    Chelsea B. Polis, Sarah E.K. Bradley, Akinrinola Bankole, Tsuyoshi Onda, Trevor Croft and Susheela Singh.
    In the developing world, 74 million unintended pregnancies occur annually, of which a sizable share, 30%, are due to contraceptive failure among women using some type of contraceptive method. Detailed information on contraceptive failure rates is critical to inform improvements in provision of contraceptive information, supplies and services, which can help women and couples to use methods correctly and consistently. We undertook a study to update contraceptive failure rates and provide a more comprehensive global picture. We provide new estimates of contraceptive failure in 43 counties across seven subregions using recent data from Demographic and Health Surveys (DHS).
  • Digital
    Adam Bobrowski, Lublin University of Technology, Poland.
    Cambridge2016
    Preliminaries -- Inner functions -- Hardy spaces -- Operators on the Hardy space -- Model spaces -- Operators between model spaces -- Boundary behavior -- Conjugation -- The compressed shift -- The commutant lifting theorem -- Clark measures -- Riesz bases -- Truncated Toeplitz operators.
  • Digital
    Neil R. Smalheiser.
    ScienceDirect2017
    Reproducibility and robustness -- Choosing a research problem -- Basics of data and data distribution -- Experimental design: measures, validity, sampling, bias, randomization, power -- Experimental design: design strategies and controls -- Power estimation -- The data cleansing and analysis pipeline -- Topics to consider when analyzing data -- Null hypothesis statistical testing and the t-Test -- The "new statistics" and Bayesian inference -- ANOVA -- Non parametric tests -- Correlation and other concepts you should know -- How to record and report your experiments -- Data sharing and reuse -- The revolution in scientific publishing.
  • Digital
    Phil Spector.
    Springer2008
    2008Click LINK above for Print location/circulation status.
  • Digital
    Luís Torgo.
    TandFonline2017
    I. R and data mining -- II. Case studies.
  • Digital
    Graham Williams.
    Springer2011
    Part 1. Explorations -- Introduction -- Getting Started -- Working with Data -- Loading Data -- Exploring Data -- Interactive Graphics -- Transforming Data -- Part 2. Building Models -- Descriptive and Predictive Analytics -- Cluster Analysis -- Association Analysis -- Decision Trees -- Random Forests -- Boosting -- Support Vector Machines -- Part 3. Delivering Performance -- Model Performance Evaluation -- Deployment -- Part 4. Appendices -- Installing Rattle -- Sample Datasets.
  • Digital
    by Samuel Buttrey, Lyn R. Whitaker.
    Wiley2018
    1. R -- 2. R data, part 1: vectors -- 3. R data, part 2: more complicated structures -- 4. R data, part 3: text and factors -- 5. Writing functions and scripts -- 6. Getting data into and out of R -- 7. Data handling in practice -- 8. Extended exercise -- A. Hints and pseudocode -- Bibliography -- Index.
  • Print
    Reva Berman Brown and Mark Saunders.
    Why you need to use statistics in your research -- Understanding statistical language -- Linking data collection with analysis -- Presenting data -- Describing data -- Inferring differences and relationships from data -- What next? -- Appendix 1: Asking questions and types of data -- Appendix 2: Useful statistical software -- Appendix 3: An alphabet of statistics.
  • Digital
    Gerald van Belle, Kathleen F. Kerr.
    Wiley2012
    Design and Analysis of Experiments in the Health Sciences; Contents; Preface; 1 The Basics; 1.1 Four Basic Questions; 1.2 Variation; 1.3 Principles of Design and Analysis; 1.4 Experiments and Observational Studies; 1.5 Illustrative Applications of Principles; 1.6 Experiments in the Health Sciences; 1.7 Adaptive Allocation; 1.7.1 Equidistribution; 1.7.2 Adaptive Allocation Techniques; 1.8 Sample Size Calculations; 1.9 Statistical Models for the Data; 1.10 Analysis and Presentation; 1.10.1 Graph the Data in Several Ways; 1.10.2 Assess Assumptions of the Statistical Model.
  • Print
    Patrick Dattalo.
    Status: Not Checked OutLane Catalog Record
    Basic terms and concepts -- Statistical power analysis -- Confidence intervals: measures of precision -- Computer-intensive methods -- Additional considerations, recommendations, and conclusions -- Worked examples.
  • Digital/Print
    Digital : Google Books1979-
    Print1979-
  • Digital
    John K. Kruschke.
    ProQuest Safari2011
    This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical analysis -- Inferring a binomial proportion via grid approximation -- Inferring a binomial proportion via the Metropolis algorithm -- Inferring two binomial proportions via Gibbs sampling -- Bernoulli likelihood with hierarchical prior -- Hierarchical modeling and model comparison -- Null hypothesis significance testing -- Bayesian approaches to testing a point ("null") hypothesis -- Goals, power, and sample size -- Overview of the generalized linear model -- Metric predicted variable on a single group -- Metric predicted variable with one metric predictor -- Metric predicted variable with multiple metric predictors -- Metric predicted variable with one nominal predictor -- Metric predicted variable with multiple nominal predictors -- Dichotomous predicted variable -- Ordinal predicted variable -- Contingency table analysis -- Tools in the trunk.
  • Digital
    Nicholas Johnson.
    We present models and algorithms that can be applied to common problems in analysis of genomic data. These include CNV (Copy Number Variation) detection, local ancestry inference in admixed populations, and haplotype inference in panels of unrelated individuals. Chapter 2 proposes a new algorithm for the Fused Lasso Signal Approximator which was recently been proposed as an alternative to HMM's for CNV detection. Chapter 3 describes new models for local ancestry inference when high density genotype data is available, and our focus is on a higher order Autoregressive Hidden Markov Model (ARHMM). We give solutions to problems that have thus far prevented the use of higher order ARHMM's for this task, and we demonstrate the model on real and simulated data. Finally, in chapter 4 we given an approach for inferring haplotypes from unphased genotype data. We optimize a likelihood closely related to the PHASE model (which is considered one of the most accurate), and we show that the proposed approach is substantially more accurate than recent alternatives. The work in these chapters contributes to common and important tasks in analysis of genomic data for association studies.
  • Digital/Print
    The Kaiser Family Foundation, Health Research and Educational Trust, [and the National Opinion Research Center].
    Digital : Kais Fam Found2010
    Print2010
    "This annual survey of employers provides a detailed look at trends in employer-sponsored health coverage, including premiums, employee contributions, cost-sharing provisions, and other relevant information. The survey continued to document the prevalence of high-deductible health plans associated with a savings option and included questions on wellness benefits and health risk assessments. The 2010 survey included 3,143 randomly selected public and private firms with three or more employees (2,046 of which responded to the full survey and 1,097 of which responded to an additional question about offering coverage). Researchers at the Kaiser Family Foundation, the National Opinion Research Center at the University of Chicago, and Health Research & Educational Trust designed and analyzed the survey"--Website.
  • Digital
    [editors-in-chief], Peter Armitage, Theodore Colton.
    Wiley2005-
    The Encyclopedia of Biostatistics, 2nd Edition offers a reference to support the development and use of statistical methods for addressing the problems and critical issues that confront scientists, practitioners and policy makers engaged in the life and medical sciences.
  • Digital
    Wiley2004-
    Reference tool covering statistics, probability theory, biostatistics, quality control, and economics with emphasis in applications of statistical methods in sociology, engineering, computer science, biomedicine, psychology, survey methodology, and other client disciplines.
  • Digital
    Bryan Kestenbaum ; editors, Kathryn L. Adeney, Noel S. Weiss ; contributing author, Abigail B. Shoben.
    Springer2009
  • Digital
    edited by Stephen P. Glasser.
    Springer2008
    I. pt. I. Clinical Research: Definitions, "Anatomy and Physiology," and the Quest for "Universal Truth" / Stephen P. Glasser, p. 3-11 -- Introduction to Clinical Research and Study Designs / Stephen P. Glasser, p. 13-27 -- Clinical Trials / Stephen P. Glasser, p. 29-62 -- Alternative Interventional Study Designs / Stephen P. Glasser, p. 63-71 -- Postmarketing Research / Stephen P. Glasser, Elizabeth Delzell and Maribel Salas, p. 73-91 -- The United States Federal Drug Administration (FDA) and Clinical Research / Stephen P. Glasser, Carol M. Ashton and Nelda P. Wray, p. 73-110 -- The Placebo and Nocebo Effect / Stephen P. Glasser and William Frishman, p. 111-140 -- Recruitment and Retention / Stephen P. Glasser, p. 141-149 -- Data Safety and Monitoring Boards (DSMBs) / Stephen P. Glasser and O. Dale Williams, p. 151-158 -- Meta-Analysis / Stephen P. Glasser and Sue Duval, p. 159-177 -- II. pt. II. -- Research Methods for Genetic Studies / Sadeep Shrestha and Donna K. Arnett, p. 181-199 -- Research Methods for Pharmacoepidemiology Studies / Maribel Salas and Bruno Stricker, p. 201-216 -- Implementation Research: Beyond the Traditional Randomized Controlled Trial / Amanda H. Salanitro, Carlos A. Estrada and Jeroan J. Allison, p. 217-244 -- Research Methodology for Studies of Diagnostic Tests / Stephen P. Glasser, p. 245-257 -- III. pt. III. Statistical Power and Sample Size: Some Fundamentals for Clinician Researchers / J. Michael Oakes, p. 261-278 -- Association, Cause, and Correlation / Stephen P. Glasser and Gary Cutter, p. 279-294 -- Bias, Confounding, and Effect Modification / Stephen P. Glasser , p. 295-302 -- It's All About Uncertainty / Stephen P. Glasser and George Howard, p. 303-316 -- Grant Writing / Donna K. Arnett and Stephen P. Glasser, p. 317-325 -- IV. pt. IV. The Media and Clinical Research / Stephen P. Glasser, p. 329-333 -- Mentoring and Advising / Stephen P. Glasser and Edward W. Hook, p. 335-340 -- Presentation Skills: How to Present Research Results / Stephen P. Glasser, p. 341-349.
  • Digital
    Stephen P. Glasser, editor.
    Springer2014
    In its extensively revised and updated Second Edition, this book provides a solid foundation for readers interested in clinical research. Discussion encompasses genetic, pharmacoepidemiologic and implementation research. All chapters have been updated with new information and many new tables have been added to elucidate key points. The book now offers discussion on how to handle missing data when analyzing results, and coverage of Adaptive Designs and Effectiveness Designs and new sections on Comparative Effectiveness Research and Pragmatic Trials. Chapter 6 includes new material on Phase 0 Trials, expanded coverage of Futility Trials, a discussion of Medical Device approval, Off Label Drug use and the role of the FDA in regulating advertising. Additional new information includes the role of pill color and shape in association with the placebo effect and an examination of issues surrounding minority recruitment. The final chapter offers a new section on manuscript preparation along with a discussion of various guidelines being adopted by journals: CONSORT, STROBE, PRISMA, MOOSE and others; and coverage of Conflicts of Interest, Authorship, Coercive Citation, and Disclosures in Industry-Related Associations. Building on the strengths of its predecessor in its comprehensive approach and authoritative advice, the new edition offers more of what has made this book a popular, trusted resource for students and working researchers alike.
  • Digital
    Nicky J. Welton, Alexander J. Sutton, Nicola J. Cooper, Keith R. Abrams, A.E. Ades
    Wiley2012
    Introduction -- Bayesian methods and winBUGS -- Introduction to decision models -- Meta-analysis using Bayesian methods -- Exploring between study heterogeneity -- Model critique and evidence consistency in random effects meta-analysis -- Evidence synthesis in a decision modelling framework -- Multi-parameter evidence synthesis in epidemiological models -- Mixed treatment comparisons -- Markov models -- Generalised evidence synthesis -- Expected value of information for research prioritisation and study design.
  • Digital
    Pedro J. Gutiérrez Diez, Irma H. Russo, Jose Russo.
    Springer2012
    Historical Introduction -- Descriptive Biostatistics -- Inferential Biostatistics (I): Estimating Values of Biomedical Magnitudes -- Inferential Biostatistics (II): Estimating Biomedical Behaviors -- Equations: Formulating Biomedical Laws and Biomedical Magnitudes -- Systems of Equations: The Explanation of Biomedical Phenomena (I). Basic Questions -- Systems of Equations: The Explanation of Biomedical Phenomena (II). Dynamic Interdependencies -- Optimal Control Theory: From Knowledge to Control (I). Basic Concepts -- Optimal Control Theory: From Knowledge to Control (II). Biomedical Applications -- Game Theory.
  • Print
    Jonathan Orsay.
    Status: Not Checked OutLane Catalog Record
  • Print
    Leslie G. Portney, Mary P. Watkins.
    Status: Not Checked OutLane Catalog Record
  • Digital
    Luc Duchateau and Palul Janssen.
    Springer2008
  • Print
    Bernard Rosner, Harvard University.
    Status: Not Checked OutLane Catalog Record
  • Digital
    Subhashis Ghosal, Aad van der Vaart.
    Cambridge2017
  • Digital
    Hadley Wickham.
    Springer2009
    Describes ggplot2, a data visualization package for R and a powerful and flexible system for creating data graphics.
  • Digital
    Few challenges facing the global community today match the scale of malnutrition, a condition that directly affects one in three people. Malnutrition manifests itself in many different ways: as poor child growth and development; as individuals who are skin and bone or prone to infection; as those who are carrying too much weight or whose blood contains too much sugar, salt, fat, or cholesterol; or those who are deficient in important vitamins or minerals. Malnutrition and diet are by far the biggest risk factors for the global burden of disease: every country is facing a serious public health challenge from malnutrition. The economic consequences represent losses of 11 percent of gross domestic product (GDP) every year in Africa and Asia, whereas preventing malnutrition delivers $16 in returns on investment for every $1 spent. The world's countries have agreed on targets for nutrition, but despite some progress in recent years the world is off track to reach those targets. This third stocktaking of the state of the world's nutrition points to ways to reverse this trend and end all forms of malnutrition by 2030.
  • Digital/Print
    Digital : WHO2011
    Print2011
    "This report sets out the statistics, evidence and experiences needed to launch a more forceful response to the growing threat posed by noncommunicable diseases. While advice and recommendations are universally relevant, the report gives particular attention to conditions in low- and middle-income countries, which now bear nearly 80% of the burden from diseases like cardiovascular disease, diabetes, cancer and chronic respiratory diseases. The health consequences of the worldwide epidemic of obesity are also addressed. The report takes an analytical approach, using global, regional and country-specific data to document the magnitude of the problem, project future trends, and assess the factors contributing to these trends. As noted, the epidemic of these diseases is being driven by forces now touching every region of the world: demographic aging, rapid unplanned urbanization, and the globalization of unhealthy lifestyles"--Publisher's description.
  • Digital/Print
    Digital : WHO2014
    Print2014
    This global status report on prevention and control of NCDs (2014), is framed around the nine voluntary global targets. The report provides data on the current situation, identifying bottlenecks as well as opportunities and priority actions for attaining the targets. The 2010 baseline estimates on NCD mortality and risk factors are provided so that countries can report on progress, starting in 2015. In addition, the report also provides the latest available estimates on NCD mortality (2012) and risk factors, 2010-2012. All ministries of health need to set national NCD targets and lead the development and implementation of policies and interventions to attain them. There is no single pathway to attain NCD targets that fits all countries, as they are at different points in their progress in the prevention and control of NCDs and at different levels of socioeconomic development. However all countries can benefit from the comprehensive response to attaining the voluntary global targets presented in this report.--Publisher description.
  • Digital/Print
    World Health Organization ; UNODC, United Nations Office on Drugs and Crime ; UNDP, United Nations Development Programme ; [Alexander Butchart and Christopher Mikton coordinated and wrote the report].
    Digital : WHO2014
    Print2014
    The Global status report on violence prevention 2014, which reflects data from 133 countries, is the first report of its kind to assess national efforts to address interpersonal violence, namely child maltreatment, youth violence, intimate partner and sexual violence, and elder abuse. Jointly published by WHO, the United Nations Development Programme, and the United Nations Office on Drugs and Crime, the report reviews the current status of violence prevention efforts in countries, and calls for a scaling up of violence prevention programmes; stronger legislation and enforcement of laws relevant for violence prevention; and enhanced services for victims of violence.--Publisher description
  • Digital
    Jamie D. Riggs, Northwestern University, Illinois; Trent L. Lalonde, University of Northern Colorado, Colorado.
    Cambridge2017
    The data sets -- The model-building process -- Constant variance response models -- Nonconstant variance response models -- Discrete, categorical response models -- Count response models -- Time-to-event response models -- Longitudinal response models -- Structural equation modeling -- Matching data to models.
  • Print
    Kilem Li Gwet, Ph. D.
    Status: Not Checked OutLane Catalog Record
  • Digital
    Jan de Leeuw, Erik Meijer, editors ; foreword by Harvey Goldstein.
    Springer2008
    Bayesian multilevel analysis and MCMC / David Draper -- Diagnostic checks for multilevel models / Tom A.B. Snijders, Johannes Berkhof -- Optimal designs for multilevel studies / Mirjam Moerbeek, Gerard J.P. Van Breukelen, Martijn P.F. Berger -- Many small groups / Stephen W. Raudenbush -- Multilevel models for ordinal and nominal variables / Donald Hedeker -- Multilevel and related models for longitudinal data / Anders Skrondal, Sophia Rabe-Hesketh -- Non-hierarchical multilevel models / Jon Rasbash, William J. Browne -- Multilevel generalized linear models / Germán Rodríguez -- Missing data / Nicholas T. Longford -- Resampling multilevel models / Rien van der Leeden, Erik Meijer, Frank M.T.A. Busing -- Multilevel structural equation modeling / Stephen H.C. du Toit, Mathilda du Toit.
  • Digital/Print
    editors, D.J. Balding, M. Bishop, C. Cannings.
    Digital : Wileyv. 1-2, 2007
    Printv. 1-2.
  • Digital
    Shili Lin, Hongyu Zhao, editors.
    Springer2010
  • Print
    Chap T. Le.
    Status: Not Checked OutLane Catalog Record
    Proportions, rates, and ratios -- Organization, summarization, and presentation of data -- Probability and probability models -- Confidence estimation -- Introduction to hypothesis testing -- Comparison of population proportions -- Comparison of population means -- Regression analysis.
  • Digital
    Trevor L. Strome.
    Wiley2013
    Chapter 1. Toward Healthcare Improvement Using Analytics -- Chapter 2. Fundamentals of Healthcare Analytics -- Chapter 3. Developing an Analytics Strategy to Drive Change -- Chapter 4. Defining Healthcare Quality and Value -- Chapter 5. Data Quality and Governance -- Chapter 6. Working with Data -- Chapter 7. Developing and Using Effective Indicators -- Chapter 8. Leveraging Analytics in Quality Improvement Activities -- Chapter 9. Basic Statistical Methods and Control Chart Principles -- Chapter 10. Usability and Presentation of Information -- Chapter 11. Advanced Analytics in Healthcare -- Chapter 12. Becoming an Analytical Healthcare Organization.
  • Digital
    Xiaochun Li, Ronghui Xu, editors.
    Springer2009
  • Digital/Print
    Digital2007-08.
    Print2011
    Introduction -- Hospital Discharges -- Hospital Procedures -- Hospital Discharges Involving Injury and Poisoning -- Definitions -- Technical Notes.
  • Digital
    Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Models ; Robert M. Groves and Brian A. Harris-Kojetin, editors ; Committee on National Statistics, Division of Behavioral and Social Sciences and Education ; a report of the National Academies of Sciences, Engineering, Medicine.
    NCBI2017
    "Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm"--Publisher's description.
  • Print
    Svend Juul, Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark, Morten Frydenberg, Department of Public Health, Section for Biostatistics, Aarhus University, Aarhus, Denmark.
    Status: Not Checked OutLane Catalog Record
  • Digital
    Kathleen F. Weaver [and four others].
    Wiley2017
  • Digital
    Ronald D. Fricker.
    Cambridge2013
    "While the public health philosophy of the 20th Century -- emphasizing prevention -- is ideal for addressing natural disease outbreaks, it is not sufficient to confront 21st Century threats where adversaries may use biological weapons agents as part of a long-term campaign of aggression and terror. Health care providers and public health officers are among our first lines of defense. Therefore, we are building on the progress of the past three years to further improve the preparedness of our public health and medical systems to address current and future BW [biological warfare] threats and to respond with greater speed and flexibility to multiple or repetitive attacks." Homeland Security Presidential Directive 21 Bioterrorism is not a new threat in the 21st century -- thousands of years ago the plague and other contagious diseases were used in warfare -- but today the potential for catastrophic outcomes is greater than it has ever been. To address this threat, the medical and public health communities are putting various measures in place, including systems designed to pro-actively mon- itor populations for possible disease outbreaks"--Provided by publisher.
  • Print
    edited by Thomas D. Cook, David L. DeMets.
    Introduction to clinical trials -- Defining the question -- Study design -- Sample size -- Randomization -- Data collection and quality control -- Survival analysis -- Longitudinal data -- Quality of life -- Data monitoring and interim analysis -- Selected issues in the analysis -- Closeout and reporting.
  • Print
    Peter Dalgaard.
  • Digital
    Ronald R. Gauch.
    Springer2009
  • Digital
    by David L. Katz [and others].
    ClinicalKey2014
    Basic epidemiologic concepts and principles -- Epidemiologic data measurements -- Epidemiologic surveillance and epidemic outbreak investigation -- The study of risk factors and causation -- Common research designs and issues in epidemiology -- Assessment of risk and benefit in epidemiologic studies -- Understanding the quality of data in clinical medicine -- Statistical foundations of clinical decisions -- Describing variation in data -- Statistical inference and hypothesis testing -- Bivariate analysis -- Applying statistics to trial design: sample size, randomization, and control for multiple hypotheses -- Multivariable analysis -- Introduction to preventive medicine -- Methods of primary prevention: health promotion -- Principles and practice of secondary prevention -- Methods of tertiary prevention -- Clinical preventive services (United States Preventive Services Task Force) -- Chronic disease prevention -- Prevention of infectious diseases -- Mental and behavioral health -- Occupational medicine -- Birth outcomes: a global perspective -- Introduction to public health -- Public health system: structure and function -- Public health practice in communities -- Disaster epidemiology and surveillance -- Heatlh management, health administration, and quality improvement -- Health care organization, policy, and financing -- One health: interdependence of people, other species, and the planet.
  • Digital
    J. Rick Turner.
    Springer2012
  • Digital
    by Anders Kallner.
    ScienceDirect2014
    Laboratory Statistics: Handbook of Formulas and Terms presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily basis. This book takes the mystery out of statistics and provides simple, hands-on instructions in the format of everyday formulas. As far as possible, spreadsheet shortcuts and functions are included, along with many simple worked examples. This book is a must-have guide to applied statistics in the lab that will result in improved experimental design and analysis. Comprehensive coverage of simple statistical concepts familiarizes the reader with formatted statistical expressionSimple, worked examples make formulas easy to use in real lifeSpreadsheet functions demonstrate how to find immediate solutions to common problemsIn-depth indexing and frequent use of synonyms facilitate the quick location of appropriate procedures.
  • Digital/Print
    Susan J. Slaughter and Lora D. Delwiche.
    Digital : ProQuest Safari2010
    Print2010
    Tutorial A: Getting started with SAS Enterprise Guide -- Tutorial B: Creating reports -- Tutorial C: Working with data in the query builder -- Tutorial D: Joining two data tables together -- Ch. 1: SAS Enterprise Guide basics -- Ch. 2: Bringing data into a project -- Ch. 3: Changing the way data values are displayed -- Ch. 4: Modifying data using the query builder -- Ch. 5: Sorting and filtering data -- Ch. 6: Combining data tables -- Ch. 7: Producing simple list and summary reports -- Ch. 8: Producing complex reports in summary tables -- Ch. 9: Basic statistical analysis -- Ch. 10: Producing graphs -- Ch. 11: Changing result styles and formats -- Ch. 12: Adding flexibility with prompts and conditions.
  • Digital
    T. Tompson, J. Benz, J. Agiesta, D. Junius, K. Nguyen, and K. Lowell.
    Overall, the idea of getting older is something that 3 in 10 Americans 40 years or older would rather not think about at all. Another 32 percent are somewhat comfortable thinking about getting older and 35 percent report being very comfortable. Being older, more educated, and in better health are associated with greater levels of comfort thinking about aging. Sixty-two percent of those 40-54 years old are somewhat or very comfortable thinking about getting older; the percentage increases to 75 percent for those 65 or older. Nearly half of those 65 and older, 47 percent, report being very comfortable thinking about getting older.
  • Digital
    Drew Conway and John Myles White.
    ProQuest Safari2012
    Machine generated contents note: -- 1. Using R -- R for Machine Learning -- Downloading and Installing R -- IDEs and Text Editors -- Loading and Installing R Packages -- R Basics for Machine Learning -- Further Reading on R -- 2. Data Exploration -- Exploration versus Confirmation -- What Is Data? -- Inferring the Types of Columns in Your Data -- Inferring Meaning -- Numeric Summaries -- Means, Medians, and Modes -- Quantiles -- Standard Deviations and Variances -- Exploratory Data Visualization -- Visualizing the Relationships Between Columns -- 3. Classification: Spam Filtering -- This or That: Binary Classification -- Moving Gently into Conditional Probability -- Writing Our First Bayesian Spam Classifier -- Defining the Classifier and Testing It with Hard Ham -- Testing the Classifier Against All Email Types -- Improving the Results -- 4. Ranking: Priority Inbox -- How Do You Sort Something When You Don't Know the Order? -- Ordering Email Messages by Priority -- Contents note continued: Priority Features of Email -- Writing a Priority Inbox -- Functions for Extracting the Feature Set -- Creating a Weighting Scheme for Ranking -- Weighting from Email Thread Activity -- Training and Testing the Ranker -- 5. Regression: Predicting Page Views -- Introducing Regression -- The Baseline Model -- Regression Using Dummy Variables -- Linear Regression in a Nutshell -- Predicting Web Traffic -- Defining Correlation -- 6. Regularization: Text Regression -- Nonlinear Relationships Between Columns: Beyond Straight Lines -- Introducing Polynomial Regression -- Methods for Preventing Overfitting -- Preventing Overfitting with Regularization -- Text Regression -- Logistic Regression to the Rescue -- 7. Optimization: Breaking Codes -- Introduction to Optimization -- Ridge Regression -- Code Breaking as Optimization -- 8. PCA: Building a Market Index -- Unsupervised Learning -- 9. MDS: Visually Exploring US Senator Similarity -- Contents note continued: Clustering Based on Similarity -- A Brief Introduction to Distance Metrics and Multidirectional Scaling -- How Do US Senators Cluster? -- Analyzing US Senator Roll Call Data (101st--111th Congresses) -- 10. kNN: Recommendation Systems -- The k-Nearest Neighbors Algorithm -- R Package Installation Data -- 11. Analyzing Social Graphs -- Social Network Analysis -- Thinking Graphically -- Hacking Twitter Social Graph Data -- Working with the Google SocialGraph API -- Analyzing Twitter Networks -- Local Community Structure -- Visualizing the Clustered Twitter Network with Gephi -- Building Your Own "Who to Follow" Engine -- 12. Model Comparison -- SVMs: The Support Vector Machine -- Comparing Algorithms.
  • Digital/Print
    Shin Takahashi.
    Digital : ProQuest Safari2009
    Print2009
    Uses manga characters to introduce the reader to the world of statistics. Rather than learning from a dry textbook, readers follow the animated adventures of Rui and her teacher, Mamoru Yamamoto, as Rui interacts with a colorful cast of characters. The book consists of seven chapters, each containing a cartoon, text to supplement the cartoon, an exercise and answer section, and a summary. Readers learn about working with numerical and categorical data; probability; relationships between two variables; tests of independence; even how to perform calculations in Microsoft Excel.
  • Digital
    edited by Matthias Dehmer, Frank Emmert-Streib, Zengqiang Chen, Xueliang Li, and Yongtang Shi.
    Wiley2016
    Entropy and Renormalization in Chaotic Visibility Graphs / Bartolo Luque, Fernando Javier Ballesteros, Alberto Robledo, Lucas Lacasa -- Generalized Entropies of Complex and Random Networks / Vladimir Gudkov -- Information Flow and Entropy Production on Bayesian Networks / Sosuke Ito, Takahiro Sagawa -- Entropy, Counting, and Fractional Chromatic Number / Seyed Saeed Changiz Rezaei -- Graph Entropy: Recent Results and Perspectives / Xueliang Li, Meiqin Wei -- Statistical Methods in Graphs: Parameter Estimation, Model Selection, and Hypothesis Test / Suzana de Siqueira Santos, Daniel Yasumasa Takahashi, Joao Ricardo Sato, Carlos Eduardo Ferreira, Andre Fujita -- Graph Entropies in Texture Segmentation of Images / Martin Welk -- Information Content Measures and Prediction of Physical Entropy of Organic Compounds / Chandan Raychaudhury, Debnath Pal -- Application of Graph Entropy for Knowledge Discovery and Data Mining in Bibliometric Data / Andre Calero Valdez, Matthias Dehmer, Andreas Holzinger.
  • Digital
    Andreas Deutsch ... [et al.], editors.
    Springerv. 1, 2007
    v. I. Cellular biophysics, regulatory networks, development, biomedicine, and data analysis -- v. 2. Epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education.
  • Digital
    Carmen Molina-París, Grant Lythe, editors.
    Springer2011
    Preface -- Thymocyte development -- A review of mathematical models for T cell receptor triggering and antigen discrimination -- Dynamic tuning of T cell receptor specificity by co-receptors and costimulation -- T cell activation and function: role of signal strength -- The cyton model for lymphocyte proliferation and differentiation -- Modeling itravital two-photon data of lymphocyte migration and interaction -- Modeling lymphocyte dynamics in vivo -- Continuous-time birth and death processes: diversity maintenance of naïve T cells in the periphery -- Multivariate competition processes: a model for two competing T cell clonotypes -- Stochastic modeling of T Cell homeostasis for two competing clonotypes via the master equation -- Dendritic cell migration in the intestinal tract -- Reassessing germinal center reaction concepts -- B cell strategies of Ag recognition in a stratified immune system -- Dynamics of Peripheral regulatory and effector T cells competing for antigen presenting cells -- Mathematical models of the role of IL-2 in the interactions between helper and regulstory CD4+ T cells -- A Physicist{u2019}s approach to immunology -- Timescales of the adaptive immune response -- Using mathematical models to explore the role of cytoxic T lymphocytes in HIV infection -- Viral immunity and persistence -- Index.
  • Digital
    Stormy Attaway.
    ScienceDirect2012
    MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications. The third edition of MATLAB: A Practical Introduction to Programming and Problem Solving has been updated to reflect the functionality of the current version of MATLAB. It features new and revised end-of-chapter exercises, stronger coverage of loops and vectorizing, and more engineering applications to help the reader learn this software tool in context. Presents programming concepts and MATLAB built-in functions side-by-sideSystematic, step-by-step approach, building on concepts throughout the book, facilitating easier learningSections on common pitfalls and programming guidelines direct students towards best practice.
  • Digital
    Stormy Attaway.
    ScienceDirect2013
    pt. 1. Introduction to programming using MATLAB -- Introduction to Matlab -- Vectors and matrices -- Introduction to MATLAB programming -- Selection statements -- Loop statements and vectorizing code -- MATLAB programs -- String manipulation -- Data structures : cell arrays and structures -- Advanced file input and output -- Advanced functions -- pt. 2. Advanced topics for problem solving with MATLAB -- Advanced plotting techniques -- Basic statistics, sets, sorting, and indexing -- Sights and sounds -- Advanced mathematics.
  • Digital
    Stormy Attaway.
    ScienceDirect2016
    MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications. The third edition of MATLAB: A Practical Introduction to Programming and Problem Solving has been updated to reflect the functionality of the current version of MATLAB. It features new and revised end-of-chapter exercises, stronger coverage of loops and vectorizing, and more engineering applications to help the reader learn this software tool in context. -- Provided by publisher.
  • Digital
    Mauro Borgo, Alessandro Soranzo, Massimo Grassi.
    Springer2012
    Basic operations -- Data handling -- Plotting data -- Start programming -- A better sound -- Create and process images -- Data analysis -- The charm of graphical user interface -- Psychtoolbox : video -- Psychtoolbox : sound, keyboard and mouse.
  • Print
    edited by Alexander Stone Macnow, MD.
    Status: Not Checked OutLane Catalog Record
    Kinematics and Dynamics -- Work and Energy -- Thermodynamics -- Fluids -- Electrostatics and Magnetism -- Circuits -- Waves and Sound -- Light and Optics -- Atomic and Nuclear Phenomena -- Mathematics -- Reasoning About the Design and Execution of Research -- Data-Based and Statistical Reasoning.
  • Digital
    Peter J. Fabri.
    Springer2016
    Introduction to Measurement and Analysis -- Data and Types of Data -- Software for Analytics -- Measurement and Uncertainty -- Mathematical and Statistical Concepts in Data Analysis -- Analysis by Modeling Data -- Principles of Supervised Learning -- Unsupervised Machine Learning -- Datasets Without Outcomes -- Survival Analysis -- Interpreting Outcomes: Cause and Effect and p-values -- Useful Tools.
  • Digital
    Howard Wainer.
    ProQuest Ebook Central2014
    New York's cancer maps : what we don't know won't hurt us, it's what we do know that ain't -- A centenary celebration for Will Burtin : a pioneer of scientific visualization -- That's funny ... -- Commentary on some graphs in the 2008 National Healthcare Quality Report -- Improving graphic displays by controlling creativity -- Diabetes and the obesity : taking a better look at blood sugar as a start -- A second look at second opinions, with hip fractures as an example -- False positives, or, Is a pound of prevention worth an ounce of cure -- Assessing long-term risk with shorter-term data -- A remarkable horse : an inquiry into the accuracy of medical predictions -- On the role of replication in the advance of science : the survival of the fittist -- What does it take to change practice? -- Why is a raven like a writing desk? Musing on the power of convention.
  • Digital/Print
    Buros, Oscar Krisen; Carlson, Janet F.; Conoley, Jane Close; Geisinger, Kurt F.; Impara, James C.; Kramer, J. J.; Mitchell, James V.; Plake, Barbara S.; Spies, Robert A.
    Digital : OvidDatabaseLimited to 4 simultaneous users
    Digital : OvidTest reviews onlineLimited to 4 simultaneous users
  • Digital
    edited by N. Balakrishnan.
    Wiley2014
  • Digital
    edited by N. Balakrishnan.
    Wiley2014
  • Digital
    Wan Tang, Xin Tu, editors.
    Springer2013
    This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. Starting with survival data analysis, this book transitions from such a classic topic to modern issues by stepping through diagnostic test and instrument assessment, sequential and dynamic treatment regimen, cost-effectiveness evaluation, equivalence testing. As some type of cancer such as the effect of smoking on lung cancer cannot be studied using randomized trials, a chapter on analysis of non-randomized studies is also included. The book concludes with a chapter discussing the opportunities and challenges that lie ahead in developing on person-centered treatment regimens. The book provides an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out the analyses. Medical researchers with some background in clinical trial design and regression analysis as well as biostatisticians will find this book informative and helpful.
  • Digital
    Alexander Kramer, Mirjam Kretzschmar, Klaus Krickeberg, editors.
    Springer2010
    Part 1. Challenges -- The Global Burden of Infectious Diseases / Paulo Pinheiro, Colin D. Mathers and Alexander Krämer -- Global Challenges of Infectious Disease Epidemiology / Alexander Krämer and Md. Mobarak Hossain Khan -- Emerging and Re-emerging Infectious Diseases / Thomas Löscher and Luise Prüfer-Krämer -- Infectious Disease Control Policies and the Role of Governmental and Intergovernmental Organisations / Gérard Krause -- Part 2. General concepts and methods -- Principles of Infectious Disease Epidemiology / Alexander Krämer, Manas Akmatov and Mirjam Kretzschmar -- Social Risk Factors / Klaus Krickeberg and David Klemperer -- Molecular Typing and Clustering Analysis as a Tool for Epidemiology of Infectious Diseases / Sylvia M. Bruisten and Leo Schouls -- Epidemiologic Surveillance / Ralf Reintjes and Klaus Krickeberg -- Outbreak Investigations / Ralf Reintjes and Aryna Zanuzdana -- Geographic Information Systems / Patrick Hostert and Oliver Gruebner -- Methods and Concepts of Epidemiology / Rafael Mikolajczyk -- Mathematical Models in Infectious Disease Epidemiology / Mirjam Kretzschmar and Jacco Wallinga -- Immunity to Infectious Diseases / Timo Ulrichs -- Principles and Practice of Vaccinology / Richard Pebody and Mirjam Kretzschmar -- Health Economics of Infectious Diseases / Robert Welte, Reiner Leidl, Wolfgang Greiner and Maarten Postma -- Part 3. Epidemiology of particular infectious diseases -- Airborne Transmission: Influenza and Tuberculosis / Timo Ulrichs -- Infectious Childhood Diarrhea in Developing Countries / Charles P. Larson, Lars Henning, Stephen Luby and Asg Faruque -- Bloodborne and Sexual Transmission: HIV/AIDS / Charlotte van den Berg, Karen Lindenburg and Roel Coutinho -- Blood Borne and Sexual Transmission: Hepatitis B and C / Freke Zuure, Susan Hahné, Thijs van de Laar, Maria Prins and Jim van Steenbergen -- Sexual Transmission: Chlamydia trachomatis / Robert E. Johnson and Stuart M. Berman -- Vector-Borne Transmission: Malaria, Dengue, and Yellow Fever / Tomas Jelinek -- Nosocomial Transmission: Methicillin-Resistant Staphylococcus aureus (MRSA) / M.J.M. Bonten and M.C.J. Bootsma -- Infectious Diseases and Cancer: HPV / Helen Trottier and Eduardo L. Franco.

Access restricted to Stanford community

Shortcut to Licensed Content

Lane Gateway to Licensed Content

TO INSTALL, DRAG THIS BUTTON to your browser Bookmarks or Tools Bar.

What is it?

Lane Gateway to Licensed Content

Bookmark on Other Websites

Bookmark on Lane

  • TO INSTALL, RIGHT CLICK this button.
  • Select "Add to Favorites" (click “Continue” if you see a security alert)
  • From the "Create in" menu, select “Favorites Bar” (IE8, IE9) to install
  • Once installed it will look like this
  • Click "Bookmark on Lane" to bookmark any webpage
  • Your saved bookmark will appear on this page
TO INSTALL, RIGHT CLICK this button.

What is it?

Derived from Current Medical Diagnosis & Treatment, AccessMedicine's Quick Medical Diagnosis & Treatment provides topic reviews with key diagnostic and treatment features for more than 500 diseases.

A repository of medical knowledge from internal medicine, cardiology, genetics, pharmacy, diagnosis and management, basic sciences, patient care, and more.

Continuously expanding, all databases in the repository contain the latest editions of selected medical titles.

MicroMedex: Premier pharmaceutical information source containing multiple databases and drug reference tools. Of particular value is DRUGDEX Evaluations, one of the most comprehensive drug sources available.DynaMed Plus is a clinical information resource used to answer questions quickly at the point-of-care. Easy-to-interpret Levels of Evidence help clinicians rapidly determine the quality of the available evidence.

Biomedical and pharmacological abstracting and indexing database of published literature, by Elsevier. Embase® contains over 32 million records from over 8,500 currently published journals (1947-present) and is noteworthy for its extensive coverage of the international pharmaceutical and alternative/complementary medicine literature.

Scopus is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference proceedings.A drug information resource containing: American Hospital Formulary System (AHFS), drug formulary for Lucile Packard Children's Hospital (LPCH) and Stanford Hospital & Clinics (SHC), Lexi-Drugs (adverse reactions, dosage and administration, mechanism of action, storage, use, and administration information), Lexi-Calc, Lexi-ID, Lexi-I.V. Compatibility (King Guide), Lexi-Interact, and Lexi-PALS.Cumulative Index to Nursing and Allied Health Literature (CINAHL) contains coverage of nursing and allied health literature.A knowledge database that provides access to topic reviews based on over 6000 clinically relevant articles. The evidence-based content, updated regularly, provides the latest practice guidelines in 59 medical specialties.Provides critical assessments of systematic reviews compiled from a variety of medical journals.Selects from the biomedical literature original studies and systematic reviews that are immediately clinically relevant and then summarizes these articles in an enhanced abstract with expert commentary.

Multidisciplinary coverage of over 10,000 high-impact journals in the sciences, social sciences, and arts and humanities, as well as international proceedings coverage for over 120,000 conferences.

Includes cited reference searching, citation maps, and an analyze tool.

Features systematic reviews that summarize the effects of interventions and makes a determination whether the intervention is efficacious or not.

Cochrane reviews are created through a strict process of compiling and analyzing data from multiple randomized control trials to ensure comprehensiveness and reliability.

Provides systematic coverage of the psychological literature from the 1800s to the present through articles, book chapters and dissertations.BMJ Clinical Evidence. A clinical information tool built around systematic reviews summarizing the current state of knowledge about prevention and treatment of clinical conditions.PIER (Physicians' Information and Education Resource) is a Web-based decision-support tool designed for rapid point-of-care delivery of up-to-date, evidence-based guidance for primary care physicians.Cochrane Central Register of Controlled Trials (CENTRAL) provides access to 300,000 controlled trials that have been identified the Cochrane Collaboration.Provides drug information targeted for patients.A continually updating drug monograph.The National Guideline Clearinghouse (NGC): A comprehensive database of evidence-based clinical practice guidelines and related documents.MedlinePlus: A repository of health information from the National Library of Medicine. Links are from trusted sites. No advertising, no endorsement of commercial companies or productsLPCH CareNotes via MicroMedex: Patient education handouts customized by LPCH clinical staffMicromedex Lab Advisor: Evidence based laboratory test informationA drug database organized by generic name, trade name and drug class.LPCH / Stanford Hospital Formulary.A goldmine of trusted consumer health information from the world's largest medical library.A trusted source of expert advice for and about kids, providing the information necessary to help patients and parents understand their unique needs.Provides patient handouts from the American Academy of Family Physician.Access to the Stanford Health Library for patients.Lane provides access to over 5,000 eBooks many of which provide helpful background material that will prepare you to better tackle primary literature.

Largest, broadest eBook package; covers all sciences, as well as technology (including software), medicine, and humanities.

In addition to covering Wiley and Springer, MyiLibrary is also the only provider for Oxford and Cambridge University Press titles. No seat restrictions.

A collection of biomedical books that can be searched directly by concept, and linked to terms in PubMed abstracts.

A web-based, decision support system for infectious diseases, epidemiology, microbiology and antimicrobial chemotherapy. The database, updated weekly, currently includes 337 diseases, 224 countries, 1,147 microbial taxa and 306 antibacterial (-fungal, -parasitic, -viral) agents and vaccines.

Over 10,000 notes outline the status of specific infections within each country.

Large number of high quality software and database programming titles from O'Reilly. Other software titles are also available from Sams and Prentice Hall. Limited to 7 concurrent users.Vast collection of software and database programming titles from multiple publishers, including Microsoft Press.Largest provider of engineering-related eBooks; includes titles in computer science and biomedical engineering.Over 4,000 full-text e-books covering scientific and technical information from CRC Press and others. Many handbooks and single volume reference sources.Includes peer-reviewed life science and biomedical research protocols compiled from Methods in Molecular Biology, Methods in Molecular Medicine, Methods in Biotechnology, Methods in Pharmacology and Toxicology, Neuromethods, the Biomethods Handbook, the Proteomics Handbook, and Springer Laboratory Manuals.Contains full text access to selected biomedical and nursing books.

Provides online, full-text access to Springer's journal titles as well as journals from other publishers.

Subjects include: life sciences, chemical sciences, environmental sciences, geosciences, computer science, mathematics, medicine, physics and astronomy, engineering and economics. Also includes eBooks.

Collection of over 8 thousand fulltext titles in engineering, math, and basic and applied biomedical research. Coverage is from 1967 to the present.A library of ebooks on a wide array of topics, digitized and made available online in conjunction with the original publishers.