Applied Categorical and Count Data Analysis Taylor & Francis Ltd

This second edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. It covers classic concepts and popular topics, such as logistic regression models, along with modern areas including models for zero-modified count outcomes. R, SAS, SPSS, and Stata programming codes are provided for all the examples. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also sui...