Logistic Regression.: A Self-Learning Text - Couverture rigide

Kleinbaum, David-G

 
9780387953977: Logistic Regression.: A Self-Learning Text
Couverture rigide
ISBN 10 : 0387953973 ISBN 13 : 9780387953977
Editeur : Springer-Verlag New York Inc., 2002

Synopsis

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 of this title are: Chapter 9 - Polytomous Logistic Regression; Chapter 10 - Ordinal Logistic Regression; Chapter 11 - Logistic Regression for Correlated Data; Chapter 12 - GEE Examples; and, 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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer-Verlag New York Inc.
Date d'édition
2002
Langue
anglais
ISBN 10 
0387953973
ISBN 13 
9780387953977
Reliure
Relié
Numéro d'édition
2
Nombre de pages
527
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
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