Modelling Binary Data

by David Collett

Overview

Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of logistic regression form valuable additions to the

Product Details

ISBN-13:	9781040061602
Publisher:	CRC Press
Publication date:	09/25/2002
Series:	Chapman & Hall/CRC Texts in Statistical Science
Sold by:	Barnes & Noble
Format:	eBook
Pages:	408
File size:	3 MB

About the Author

David Collett

Table of Contents

Introduction. Statistical Inference for Binary Data. Models for Binary and Binomial Data. Bioassay and some other Applications. Model Checking. Overdispersion. Modelling Data from Epidemiological Studies. Mixed Models for Binary Data. Exact Methods. Some Additional Topics. Computer Software for Modelling Binary Data. Appendices.

Editorial Reviews

Praise for the first edition:

"…A merit of the book, considerably enhancing its practical value, is the detailed discussion of computational issues and software. … Overall the book provides an accessible and effective presentation of the topic. I recommend it."
-Journal of Applied Statistics

"In summary, this book draws together material on many practical aspects of the analysis of binary data, which was unavailable before in a single book. Applied statisticians, at any level, will learn something from it."
-The Statistician

"…well written, contains good examples, and ideas and concepts are developed and explained logically and clearly…I can strongly recommend this book as a handy reference for applied statisticians and other researchers with a good background in statistical methods… I also appreciated having a book that seems to have very few errors of any kind!"
-Biometrics

From the Publisher