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.
Items in the Library & Off-site
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1 Item
Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Request in advance | R853.S7 K54 1994 | Off-site |
Holdings
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