Research Catalog

Logistic regression : a self-learning text

Title
Logistic regression : a self-learning text / David G. Kleinbaum.
Author
Kleinbaum, David G.
Publication
New York : Springer, [1994], ©1994.

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StatusFormatAccessCall NumberItem Location
TextRequest in advance R853.S7 K54 1994Off-site

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Details

Description
xiii, 282 pages : illustrations; 25 cm.
Series Statement
Statistics in the health sciences
Uniform Title
Springer series in statistics. Statistics in the health sciences.
Subjects
Genre/Form
Programmed Instruction.
Bibliography (note)
  • Includes bibliographical references (p. 275-276) and index.
Contents
Ch. 1. Introduction to Logistic Regression -- Ch. 2. Important Special Cases of the Logistic Model -- Ch. 3. Computing the Odds Ration 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 -- Appendix: Computer Data Sets.
ISBN
  • 0387941428 (New York : acid-free paper)
  • 3540941428 (Berlin : acid-free paper)
LCCN
93027484
OCLC
ocm28708511
Owning Institutions
Columbia University Libraries