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Index
Cover
Frontmatter
1. Introduction
2. General Aspects of Fitting Regression Models
3. Missing Data
4. Multivariable Modeling Strategies
5. Describing, Resampling, Validating, and Simplifying the Model
6. R Software
7. Modeling Longitudinal Responses using Generalized Least Squares
8. Case Study in Data Reduction
9. Overview of Maximum Likelihood Estimation
10. Binary Logistic Regression
11. Case Study in Binary Logistic Regression, Model Selection and Approximation: Predicting Cause of Death
12. Logistic Model Case Study 2: Survival of Titanic Passengers
13. Ordinal Logistic Regression
14. Case Study in Ordinal Regression, Data Reduction, and Penalization
15. Regression Models for Continuous Y and Case Study in Ordinal Regression
16. Transform-Both-Sides Regression
17. Introduction to Survival Analysis
18. Parametric Survival Models
19. Case Study in Parametric Survival Modeling and Model Approximation
20. Cox Proportional Hazards Regression Model
21. Case Study in Cox Regression
Backmatter
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