Regression Modeling Strategies With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis /

• Κύριος συγγραφέας: Harrell , Jr., Frank E. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 2nd ed. 2015.
• Σειρά: Springer Series in Statistics,
• Θέματα: Statistics.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics and Computing/Statistics Programs.

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...

Πίνακας περιεχομένων:

• 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. .