Logistic Regression

A Self-Learning Text

Authors:

ISBN: 978-1-4419-1741-6 (Print) 978-1-4419-1742-3 (Online)

Table of contents (16 chapters)

  1. Front Matter

    Pages i-xvii

  2. No Access

    Book Chapter

    Pages 1-39

    Introduction to Logistic Regression

  3. No Access

    Book Chapter

    Pages 41-71

    Important Special Cases of the Logistic Model

  4. No Access

    Book Chapter

    Pages 73-101

    Computing the Odds Ratio in Logistic Regression

  5. No Access

    Book Chapter

    Pages 103-127

    Maximum Likelihood Techniques: An Overview

  6. No Access

    Book Chapter

    Pages 129-164

    Statistical Inferences Using Maximum Likelihood Techniques

  7. No Access

    Book Chapter

    Pages 165-202

    Modeling Strategy Guidelines

  8. No Access

    Book Chapter

    Pages 203-239

    Modeling Strategy for Assessing Interaction and Confounding

  9. No Access

    Book Chapter

    Pages 241-299

    Additional Modeling Strategy Issues

  10. No Access

    Book Chapter

    Pages 301-343

    Assessing Goodness of Fit for Logistic Regression

  11. No Access

    Book Chapter

    Pages 345-387

    Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves

  12. No Access

    Book Chapter

    Pages 389-428

    Analysis of Matched Data Using Logistic Regression

  13. No Access

    Book Chapter

    Pages 429-462

    Polytomous Logistic Regression

  14. No Access

    Book Chapter

    Pages 463-488

    Ordinal Logistic Regression

  15. No Access

    Book Chapter

    Pages 489-538

    Logistic Regression for Correlated Data: GEE

  16. No Access

    Book Chapter

    Pages 539-565

    GEE Examples

  17. No Access

    Book Chapter

    Pages 567-598

    Other Approaches for Analysis of Correlated Data

  18. Back Matter

    Pages 599-701