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Regression Modeling Strategies : With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis /
This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modeling, which entails choosing and using multiple tools. Instead...
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| 格式: | Printed Book |
| 語言: | English |
| 版: | 2nd ed. 2015. |
| 叢編: | Springer Series in Statistics,
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書本目錄:
- Introduction
- General Aspects of Fitting Regression Models
- Missing Data
- Multivariable Modeling Strategies
- Describing, Resampling, Validating and Simplifying the Model
- R Software
- Modeling Longitudinal Responses using Generalized Least Squares
- Case Study in Data Reduction
- Overview of Maximum Likelihood Estimation
- Binary Logistic Regression
- Binary Logistic Regression Case Study 1
- Logistic Model Case Study 2: Survival of Titanic Passengers
- Ordinal Logistic Regression
- Case Study in Ordinal Regression, Data Reduction and Penalization.- Regression Models for Continuous Y and Case Study in Ordinal Regression
- Transform-Both-Sides Regression
- Introduction to Survival Analysis
- Parametric Survival Models
- Case Study in Parametric Survival Modeling and Model Approximation
- Cox Proportional Hazards Regression Model
- Case Study in Cox Regression
- Appendix. .