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Abstract:
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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 L
istic 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.
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