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Logistic Regression

Overview of attention for book
Cover of 'Logistic Regression'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Logistic Regression
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    Chapter 2 Important Special Cases of the Logistic Model
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    Chapter 3 Computing the Odds Ratio in Logistic Regression
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    Chapter 4 Maximum Likelihood Techniques: An Overview
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    Chapter 5 Statistical Inferences Using Maximum Likelihood Techniques
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    Chapter 6 Modeling Strategy Guidelines
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    Chapter 7 Modeling Strategy for Assessing Interaction and Confounding
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    Chapter 8 Additional Modeling Strategy Issues
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    Chapter 9 Assessing Goodness of Fit for Logistic Regression
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    Chapter 10 Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves
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    Chapter 11 Analysis of Matched Data Using Logistic Regression
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    Chapter 12 Polytomous Logistic Regression
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    Chapter 13 Ordinal Logistic Regression
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    Chapter 14 Logistic Regression for Correlated Data: GEE
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    Chapter 15 GEE Examples
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    Chapter 16 Other Approaches for Analysis of Correlated Data
Attention for Chapter 10: Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves
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