Logistic Regression: A Self-Learning Text

Kleinbaum, David G.

Published by Springer, New York, 1994

About this Item

xiii, 282 pages: illustrations; 25 cm. Includes bibliographical references (pages 275-276) and index. Statistics in the health sciences; Variation: Springer series in statistics.; Statistics in the health sciences. [series]. 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. Regression analysis. Logistic distribution. Biometry -- methods Regression Analysis M?decine -- Recherche -- M?thodes statistiques. Analyse de r?gression. Distribution logistique. 31.73 mathematical statistics. Logistic distribution. Medicine -- Research -- Statistical methods. Regression analysis. Logistische Verteilung Regressionsanalyse Regressieanalyse. Logistische Verteilung. Regressionsanalyse. Programmed instructional materials. Educational tools (form) Programmed instructional materials. Mat?riel d'enseignement programm? Identifier: Logistic distribution; Medicine; Research; Statistical methods; Regression analysis; correlatieanalyse; correlation analysis; epidemics; epidemiologie; epidemiology; gezondheidszorg; health care; hygiene; regressieanalyse; Correlation and Regression Analysis; Correlatie- en regressieanalyse.

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Bibliographic Details

• Title: Logistic Regression: A Self-Learning Text
• Publisher: Springer, New York
• Publication Date: 1994
• Seller catalogs:
  • Programmed Instruction
  • English
  • Foreign Language