Modelling Binary Data
2nd Edition
Published on 25. September 2002
408 pages
978-1-040-06160-2 (ISBN)
Description
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
Reviews / Votes
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
More details
Series
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
ISBN-13
978-1-040-06160-2 (9781040061602)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
David Collett
Modelling Binary Data
Book
06/2018
2nd Edition
CRC Press
€282.26
Shipment within 10-20 days
David Collett
Modelling Binary Data
Book
09/2002
2nd Edition
Chapman & Hall/CRC
€147.50
Shipment within 15-20 days
Content
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.
