Logistic regression : a self-learning text /

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...

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Bibliographic Details
Main Author:	Kleinbaum, David G.
Corporate Author:	SpringerLink (Online service)
Other Authors:	Klein, Mitchel, Pryor, Erica Rihl
Format:	eBook
Language:	English
Published:	New York : Springer, [2002]
Edition:	2nd ed.
Series:	Statistics for biology and health.
Subjects:	Medicine > Research > Statistical methods. Regression analysis. Logistic distribution. Biometry > methods. Models, Statistical. Regression Analysis. MEDICAL > Biostatistics. ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO. BIOCIÊNCIAS. LOGÍSTICA (ESTATÍSTICA) PESQUISA OPERACIONAL. ANÁLISE MULTIVARIADA. ESTATÍSTICA APLICADA. Logistic regression Electronic books.
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Description
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: GEE; 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.
Item Description:	Electronic resource.
Physical Description:	1 online resource (xiv, 513 pages) : illustrations.
Bibliography:	Includes bibliographical references (pages 503-505) and index.
ISBN:	0387216472 9780387216478