Research Catalog

Logistic regression : a self-learning text

Title
Logistic regression : a self-learning text / David G. Kleinbaum, Mitchel Klein ; with contributions by Erica Rihl Pryor.
Author
Kleinbaum, David G.
Publication
New York : Springer, c2002.

Items in the Library & Off-site

Filter by

1 Item

StatusFormatAccessCall NumberItem Location
Request for On-site UseRequest Scan
How do I pick up this item and when will it be ready?
TextUse in library R853.S7 K54 2002Off-site

Details

Additional Authors
Klein, Mitchel
Description
xiv, 513 p. : ill.; 25 cm.
Series Statement
Statistics for biology and health
Uniform Title
Statistics for biology and health.
Subject
  • Medicine > Research > Statistical methods
  • Regression analysis
  • Logistic distribution
  • Regression Analysis
  • Logistic Models
Bibliography (note)
  • Includes bibliographical references (p. 503-505) and index.
Contents
Ch. 1. Introduction to Logistic Regression -- Ch. 2. Important Special Cases of the Logistic Model -- Ch. 3. Computing the Odds Ratio in Logistic Regression -- Ch. 4. Maximum Likelihood Techniques: An Overview -- Ch. 5. Statistical Inferences Using Maximum Likelihood Techniques -- Ch. 6. Modeling Strategy Guidelines -- Ch. 7. Modeling Strategy for Assessing Interaction and Confounding -- Ch. 8. Analysis of Matched Data Using Logistic Regression -- Ch. 9. Polytomous Logistic Regression -- Ch. 10. Ordinal Logistic Regression -- Ch. 11. Logistic Regression for Correlated Data: GEE -- Ch. 12. GEE Examples -- Ch. 13. Other Approaches for Analysis of Correlated Data -- App. Computer Programs for Logistic Regression.
ISBN
0387953973 (hc : alk. paper)
LCCN
2002019728
OCLC
  • ocm48892848
  • SCSB-4792320
Owning Institutions
Columbia University Libraries