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Logistic Regression: A Self-Learning Text, Third Edition


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Authors:
David G. Kleinbaum and Mitchel Klein
Publisher: Springer
Copyright: 2010
ISBN-13: 978-1-4419-1741-6
Pages: 701; hardcover
Price: $49.75
Authors:
David G. Kleinbaum and Mitchel Klein
Publisher: Springer
Copyright: 2010
ISBN-13:
Pages: 701; eBook
Price: $0.00

Comment from the Stata technical group

This book, the third edition of the text originally published in 1994, succeeds in demonstrating that one need not be a mathematician to fully understand the underpinnings of logistic regression in all its forms. Ideally suited for a graduate course for students in the medical sciences, the text has the look and feel of a course textbook; formulas, diagrams, and important points are set off in the side margins for emphasis. Also, each chapter contains a summary, detailed outline, objectives, practice exercises (with answers), and a chapter test.

The mathematics are kept to the most basic level, but nevertheless, because of its completeness in coverage of logistic regression, this text would be a good reference for even the most theoretical statistician. In fact, those readers already well versed in logistic regression methods will benefit from seeing advanced topics such as generalized estimating equations (GEE) explained from first principles.

The third edition features new chapters on modeling strategies (for example, dealing with influential observations), goodness of fit, and receiver operating characteristic (ROC) analysis. An appendix on computer software describes how to perform the analyses described in the text using Stata version 10.0.

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