Logistic Regression: A Self-Learning Text / Edition 2 by David G. Kleinbaum, David G. Kleinbaum, Mitchell Klein | | 9780387953977 | Hardcover | Barnes & Noble
Logistic Regression: A Self-Learning Text / Edition 2

Logistic Regression: A Self-Learning Text / Edition 2

by David G. Kleinbaum, David G. Kleinbaum, Mitchell Klein
     
 

ISBN-10: 0387953973

ISBN-13: 9780387953977

Pub. Date: 08/28/2002

Publisher: Springer-Verlag New York, LLC

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.

Overview

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.

Product Details

ISBN-13:
9780387953977
Publisher:
Springer-Verlag New York, LLC
Publication date:
08/28/2002
Series:
Statistics for Biology and Health Series
Edition description:
REV
Pages:
513
Product dimensions:
8.10(w) x 9.30(h) x 1.30(d)

Related Subjects

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

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >