Book description
NoneTable of contents
- Cover
- Series
- Title Page
- Copyright
- Dedication
- Preface to the Third Edition
- Chapter 1: Introduction to the Logistic Regression Model
- Chapter 2: The Multiple Logistic Regression Model
-
Chapter 3: Interpretation of the Fitted Logistic Regression Model
- 3.1 Introduction
- 3.2 Dichotomous Independent Variable
- 3.3 Polychotomous Independent Variable
- 3.4 Continuous Independent Variable
- 3.5 Multivariable Models
- 3.6 Presentation and Interpretation of the Fitted Values
- 3.7 A Comparison of Logistic Regression and Stratified Analysis for 2 × 2 Tables
- Exercises
- Chapter 4: Model-Building Strategies and Methods for Logistic Regression
- Chapter 5: Assessing the Fit of the Model
- Chapter 6: Application of Logistic Regression with Different Sampling Models
- Chapter 7: Logistic Regression for Matched Case-Control Studies
- Chapter 8: Logistic Regression Models for Multinomial and Ordinal Outcomes
-
Chapter 9: Logistic Regression Models for the Analysis of Correlated Data
- 9.1 Introduction
- 9.2 Logistic Regression Models for the Analysis of Correlated Data
- 9.3 Estimation Methods for Correlated Data Logistic Regression Models
- 9.4 Interpretation of Coefficients From Logistic Regression Models for the Analysis of Correlated Data
- 9.5 An Example of Logistic Regression Modeling with Correlated Data
- 9.6 Assessment of Model Fit
- Exercises
-
Chapter 10: Special Topics
- 10.1 Introduction
- 10.2 Application of Propensity Score Methods in Logistic Regression Modeling
- 10.3 Exact Methods for Logistic Regression Models
- 10.4 Missing Data
- 10.5 Sample Size Issues When Fitting Logistic Regression Models
- 10.6 Bayesian Methods for Logistic Regression
- 10.7 Other Link Functions for Binary Regression Models
- 10.8 Mediation ‡
- 10.9 More About Statistical Interaction
- Exercises
- References
- Index
Product information
- Title: Applied Logistic Regression, 3rd Edition
- Author(s):
- Release date:
- Publisher(s): Wiley
- ISBN: None
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