Introduction
Discrete Outcomes
Data Source
Outline of the Book
Review of Key Statistical Results
Software
Contingency Tables
Inference for One-Way Frequency Table
Inference for 2 x 2 Table
Inference for 2 x r Tables
Inference for s x r Table
Measures of Association
Sets of Contingency Tables
Confounding Effects
Sets of 2 x 2 Tables
Sets of s x r Tables
Regression Models for Categorical Response
Logistic Regression for Binary Response
Inference about Model Parameters
Goodness of Fit
Generalized Linear Models
Regression Models for Polytomous Response
Regression Models for Count Response
Poisson Regression Model for Count Response
Goodness of Fit
Overdispersion
Parametric Models for Clustered Count Response
Loglinear Models for Contingency Tables
Analysis of Loglinear Models
Two-Way Contingency Tables
Three-Way Contingency Tables
Irregular Tables
Model Selection
Analyses of Discrete Survival Time
Special Features of Survival Data
Life Table Methods
Regression Models
Longitudinal Data Analysis
Data Preparation and Exploration
Marginal Models
Generalized Linear Mixed-Effects Model
Model Diagnostics
Evaluation of Instruments
Diagnostic-ability
Criterion Validity
Internal Reliability
Test-Retest Reliability
Analysis of Incomplete Data
Incomplete Data and Associated Impact
Missing Data Mechanism
Methods for Incomplete Data
Applications
References
Index