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Logistic Regression: a Selft Learning Text

✍ Scribed by Klein, Mitchel;Rihl Pryor, Erica;Kleinbaum, David G

Publisher
Springer
Year
2010
Tongue
English
Leaves
709
Series
Statistics for Biology and Health
Edition
Third edition
Category
Library
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✦ Synopsis

Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses.;The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text. --Book Jacket.;This very popular textbook is now in its third edition. Whether students or working professionals, readers apprciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecture. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams.

✦ Table of Contents

Introduction to logistic regression --
Important special cases of the logistic model --
Computing the odds ratio in logistic regression --
Maximum likelihood techniques: an overview --
Statistical inferences using maximum likelihood techniques --
Modeling strategy guideline --
Modeling strategy for assessing interaction and confounding --
Additional modeling strategy issues --
Assessing goodness of fit for logistic regression --
Assessing discriminatory performance of a binary logistic model: ROC curves --
Analysis of matched data using logistic regression --
Polytomous logistic regression --
Ordinal logistic regression --
Logistic regression for correlated data: GEE --
GEE examples --
Other approaches for analysis of correlated data --
Computer programs for logistic regression.

✦ Subjects

AnÑlisis de regresión;Modelos estadísticos;Modelos estadísticos;Análisis de regresión

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