BookErick Suárez, Cynthia M. Pérez, Roberto Rivera, and Melissa N. Martínez.
Contents:
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.