ABSTRACT

Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals o

chapter 1|30 pages

Introduction

chapter 2|62 pages

Contingency Tables

chapter 3|22 pages

Sets of Contingency Tables

chapter 4|58 pages

Regression Models for Categorical Response

chapter 5|28 pages

Regression Models for Count Response

chapter 6|36 pages

Log-Linear Models for Contingency Tables

chapter 7|20 pages

Analyses of Discrete Survival Time

chapter 8|32 pages

Longitudinal Data Analysis

chapter 9|22 pages

Evaluation of Instruments

chapter 10|36 pages

Analysis of Incomplete Data