Logistic Regression

1. Front Matter

   Pages i-xiii

   PDF

2. Introduction to Logistic Regression

   • David G. Kleinbaum

   Pages 1-38

3. Important Special Cases of the Logistic Model

   • David G. Kleinbaum

   Pages 39-72

4. Computing the Odds Ratio in Logistic Regression

   • David G. Kleinbaum

   Pages 73-99

5. Maximum Likelihood Techniques: An Overview

   • David G. Kleinbaum

   Pages 101-124

6. Statistical Inferences Using Maximum Likelihood Techniques

   • David G. Kleinbaum

   Pages 125-160

7. Modeling Strategy Guidelines

   • David G. Kleinbaum

   Pages 161-189

8. Modeling Strategy for Assessing Interaction and Confounding

   • David G. Kleinbaum

   Pages 191-226

9. Analysis of Matched Data Using Logistic Regression

   • David G. Kleinbaum

   Pages 227-251

10. Back Matter

    Pages 253-282

    PDF

This text on logistic regression methods contains the following eight chapters: 1 Introduction to Logistic Regression 2 Important Special Cases of the Logistic Model 3 Computing the Odds Ratio in Logistic Regression 4 Maximum Likelihood Techniques: An Overview 5 Statistical Inferences Using Maximum Likelihood Techniques 6 Modeling Strategy Guidelines 7 Modeling Strategy for Assessing Interaction and Confounding 8 Analysis of Matched Data Using Logistic Regression Each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustrations and formulae in the left column of each page and a script in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that high­ light the main points, formulae, or examples being presented. The reader mayaiso purchase directly from the author audio-cassette tapes of each chapter. If you purchase the tapes, you may use the tape with the illustrations and formulae, ignoring the script. The use of the audiotape with the illustrations and formulae is intended to be similar to a lecture. An audio cassette player is the only equipment required. Tapes may be obtained by writing or calling the author at the following address: Depart­ ment of Epidemiology, School of Public Health, Emory University, 1599 Clifton Rd. N. E. , Atlanta, GA 30333, phone (404) 727-9667. This text is intended for self-study.

• class
• design
• likelihood
• logistic regression
• presentation
• statistical inference
• tool

From the reviews of the second edition:

"..an excellent and thorough job of putting together a text that can be used for self-learning...a very useful book for those professionals who have recently become involved in conducting epidemiologic studies or at least interpreting epidemiologic data..." (Marcus Kjelsberg, University of Minnesota)

"As the title suggests, in the book with the title ‘Logistic Regression: A Self-Learning Text’, the authors D. G. Kleinbaum and M. Klein have followed a learning conducive style presentation. … This reviewer finds his learning very fast in this format, and it is a great feature of this well written book. … it is suitable for use in a graduate level regression course. Statistics researchers and application minded users will find this book extremely friendly." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 76 (1), January, 2006)

"This book is apparently aimed at non-statisticians and uses examples from epidemiological studies throughout. … The second edition (almost twice the length of the original) has new material on polytomous logistic regression, ordinal logistic regression, and logistic regression for correlated data using GEE and other approaches. … The explanations are clear … . The section on using computing software is a welcome addition … . it is a worthy attempt at explaining the topic to non-statisticians." (Denise Howel, Journal of Applied Statistics, Vol. 30 (10), 2003)

"The authors clearly know what they are talking about and … you will obtain a fairly good idea of the basic recipes for fitting logistic regression models. This includes a treatment of generalized estimating equation models … brief coverage of generalized linear mixed models and a useful appendix on software … ." (David Wooff, Journal of the Royal Statistical Society, Vol. 157 (1), 2004)

"This is the second edition of Logistic Regression: A Self-LearningText. As in the first edition, each chapter contains a presentation of its topic in ‘lecture-book’ format together with objectives, an outline, key formulae, practice exercises, and a test. The ‘lecture-book’ has a sequence of illustrations and formulae in the left column of each page and a script … in the right column. … This second edition includes five new chapters and an Appendix." (Zentralblatt für Didaktik der Mathematik, January, 2003)

"Described on its cover as a ‘Self-Learning Text’, the book is primarily intended for self-study. Its pages are wider than the pages of a typical textbook, and it has a two-column format. … For the second edition (2E), the author has added a coauthor and appended five new chapters to the eight chapters of the 1E. The additional 170 pages should result in adequate additional material to fill up all of the time for any three credit course." (Technometrics, Vol. 45 (1), 2003)

• Department of Epidemiology, Emory University, Atlanta, USA

  David G. Kleinbaum

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