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Logistic Regression : A Self Learning Text

Logistic Regression : A Self Learning Text - 2nd edition

ISBN13: 978-0387953977

Cover of Logistic Regression : A Self Learning Text 2ND 03 (ISBN 978-0387953977)
ISBN13: 978-0387953977
ISBN10: 0387953973
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Edition/Copyright: 2ND 03
Publisher: Springer-Verlag New York
Published: 2003
International: No

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Logistic Regression : A Self Learning Text - 2ND 03 edition

ISBN13: 978-0387953977

Mitchel Klein and David G. Kleinbaum

ISBN13: 978-0387953977
ISBN10: 0387953973
Cover type:
Edition/Copyright: 2ND 03
Publisher: Springer-Verlag New York

Published: 2003
International: No
Summary

This is the second edition of this text on logistic regression methods. 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 (i.e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented.

This second edition includes five new chapters and an appendix. The new chapters are:
Chapter 9. Polytomous Logistic Regression
Chapter 10. Ordinal Logistic Regression
Chapter 11. Logistic Regression for Correlated Data
Chapter 12. GEE Examples
Chapter 13. Other Approaches for Analysis of Correlated Data
Chapters 9 and 10 extend logistic regression to response variables that have more than two categories. Chapters 11-13 extend logistic regression to generalized estimating equations (GEE) and other methods for analyzing correlated response data.

The appendix "Computer Programs for Logistic Regression" provides descriptions and examples of computer programs for carrying out the variety of logistic regression procedures described in the main text. The software packages considered are SAS Version 8.0, SPSS Version 10.0 and STATA Version 7.0.

Author Bio

Kleinbaum, David G. : Emory University, Atlanta, GA


Klein, Mitchel : Emory University, Atlanta, GA

Table of Contents

Introduction to Logistic Regression
Important Special Cases of the Logistical Model
Computing the Odds Ration in Logistic Regression
Maximum Likelihood Techniques: An Overview
Statistical Inference Using Maximum Likelihood Techniques
Modeling Strategy Guidelines
Modeling Strategy for Assessing Interaction and Confounding
Analysis of Matched Data Using Logistic Regression
Polytomous Logistic Regression
Ordinal Logistic Regression
Logistic Regression for Correlated Data
GEE Examples
Other Approaches for Analysis of Correlated Data

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Cover of Logistic Regression 3rd edition

Logistic Regression - 3rd edition

ISBN13: 978-1441917416
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