Analysis of Binary Data, Second Edition

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CRC Press, May 15, 1989 - Mathematics - 240 pages
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The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of 'success' depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition, which contains a substantial amount of new material. This amplifies matters dealt with only cryptically in the first edition and includes many more recent developments. In addition the whole material has been reorganized, in particular to put more emphasis on m.aximum likelihood methods.

There are nearly 60 further results and exercises. The main points are illustrated by practical examples, many of them not in the first edition, and some general essential background material is set out in new Appendices.
  

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Contents

Special logistic analyses
26
Some complications
106
Some related approaches
126
More complex responses
149
Theoretical background
167
5 Techniques for inference
179
9 Bayesian approach
186
Small numbers of explanatory variables
192
Review of computational aspects
195
References
215
Author index
228
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About the author (1989)

D. R. Cox is one of the world's pre-eminent statisticians. Author or co-author of numerous books and papers, his work on the proportional hazards regression model is one of the most-cited and most influential papers in modern statistics. In 2010 he won the Copley Medal of the Royal Society 'for his seminal contributions to the theory and application of statistics'.

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