Models for Discrete Data
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Product details:
- Edition number 2 Rev ed, Revised
- Publisher OUP Oxford
- Date of Publication 16 February 2006
- ISBN 9780198567011
- Binding Hardback
- No. of pages296 pages
- Size 241x161x21 mm
- Weight 570 g
- Language English
- Illustrations Numerous tables and line drawings 0
Categories
Short description:
This revised edition illustrates the statistical analysis of data using computer programs in SAS, a widely used software package in the health sciences. Many numerical examples are provided to illustrate the methods and these are discussed along with the corresponding computer output. Several new datasets are included, mostly from the health and medical sector.
MoreLong description:
Discrete or count data arise in experiments where the outcome variables are the numbers of individuals classified into unique, non-overlapping categories. This revised edition describes the statistical models used in the analysis and summary of such data, and provides a sound introduction to the subject for graduate students and practitioners needing a review of the methodology. With many numerical examples throughout, it includes topics not covered in depth elsewhere, such as the negative multinomial distribution; the many forms of the hypergeometric distribution; and coordinate free models. A detailed treatment of sample size estimation and power are given in terms of both exact inference and asymptotic, non-central chi-squared methods. A new section covering Poisson regression has also been included. An important feature of this book, missing elsewhere, is the integration of the software into the text.
Many more exercises are provided (including 84% more applied exercises) than in the previous edition, helping consolidate the reader's understanding of all subjects covered, and making the book highly suitable for use in a classroom setting. Several new datasets, mostly from the health and medical sector, are discussed, including previously unpublished data from a study of Tourette's Syndrome in children.
Table of Contents:
Introduction
Sampling distributions
Logistic regression
Log-linear models
Coordinate-free models
Additional topics
Appendix A: Power for chi-squared tests
Appendix B: Program for exact tests
Appendix C: The hypergeometric distribution
References
Selected solutions and hints
Index
Examples index
Author index
Subject index
