Logistic Regression

A self- Learning text

David G. Kleinbaum, Mitchel Klein

520 pages, parution le 18/10/2002 (2^eme édition)

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Résumé

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.

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
Appendix: Computer Programs for Logistic Regression
Test Answers
Bibliography

L'auteur - David G. Kleinbaum

Emory University, Atlanta, GA

L'auteur - Mitchel Klein

Mitchel Klein, Emory University, Atlanta, GA

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	David G. Kleinbaum, Mitchel Klein
Parution	18/10/2002
Édition	2^eme édition
Nb. de pages	520
Format	21 x 24
Couverture	Relié
Poids	1170g
Intérieur	Noir et Blanc
EAN13	9780387953977
ISBN13	978-0-387-95397-7