Classes Archive

March
2016

Automating Tasks with the UNIX Shell - Archive

The UNIX shell is a great tool for automating tasks. This workshop will walk you through an example of how to divide up a particular task into its component parts, use shell programs to complete those individual tasks, string together those individual tasks, and then run the entire workflow using ... More
June
2013

Intermediate to Advanced Features of Dedoose

This session will be particularly valuable for current users of Dedoose and those with a qualitative or mixed methods research background.  We will begin by demonstrating some Dedoose basics such as how to import, excerpt, and code documents. We will also touch on more advanced qualitative and mixed methods features ... More
June
2013

Introduction to Dedoose, a Qualitative and Mixed Method Research Tool

This session will start with an overview of Dedoose, what it means to be a web-based application, and how the system is built to support qualitative and mixed methods research analysis securely online.  This session will be generalized for all audiences. We will show you how to import documents, excerpt ... More
August
2012

Introduction to R Programming Part 1

This is a two-part series of workshops on "R" programming sponsored by the Office of Postdoctoral Affairs and Lane Medical Library. Part I: Dr. Ruau will help troubleshoot problems w/ installation of R on your laptops. By the end of parts I and II, participants will be able to: Interact with R using ... More
August
2012

Introduction to R Programming Part 2

This is a two-part series of workshops on "R" programming sponsored by the Office of Postdoctoral Affairs and Lane Medical Library By the end of parts I and II, participants will be able to: Interact with R using commands passed through the console. Import and export data in various formats and transform those ... More
April
2013

Qualitative Data Analysis with NVIVO

This NVivo demonstration provides an overview of the key features of NVivo software and demonstrates how it can be a powerful tool in all phases of the research process:  grant writing and research proposal development, literature review, data management and analysis, and manuscript preparation.  We will also show how NVivo ... More
July
2015

R Programming: Part 1

No experience with R or programming will be assumed, although some exposure to programming concepts may be helpful. The goal will be to tour enough features of R that attendees can later pursue topics in greater depth on their own. lntroductory remarks about R: history, popularity, applications, competing languages Interacting with R: REPL ... More
July
2015

R Programming: Part 2

No experience with R or programming will be assumed, although some exposure to programming concepts may be helpful. Part 2 will have 3 parts: First, we will look at how R can be used as a programming language Second, we will look at basic string manipulation and text processing, which is needed for ... More
August
2011

Using R for Graphics Programming: An Introduction Using a Point-and-Click Interface

R is a free software package that can generate publication ready statistical graphics with either a point and click system or using code that a programmer crafts. This class introduces people, without a programming background, to the core graphical methods that ship with the R programming language and introduces a ... More
August
2013

Using R/Deducer for Statistics and Graphics in Medicine: An Introduction

R is a powerful, free statistical software program that can be used for analyzing any type of data. However, it can be very difficult to learn. Deducer is a free, easy to use graphical user interface for R that simplifies many common statistical tasks. In this seminar, we will go ... More
August
2013

Using Stata for Statistics in Medicine: An Introduction to Basic Operations

Stata is a common statistical software package that is used to analyze large datasets. This workshop will introduce participants to a variety of basic Stata operations, such as importing and cleaning data, generating and visualizing descriptive statistics, and running and interpreting common statistical tests such as t-tests and chi-squared tests. ... More

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