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...

Szczegółowa specyfikacja

Opis bibliograficzny
1. autor: Harrell , Jr., Frank E
Format: Printed Book
Język:English
Wydanie:2nd ed. 2015.
Seria:Springer Series in Statistics,
Hasła przedmiotowe:
Statistics.
Statistical Theory and Methods.
Statistics and Computing/Statistics Programs.
Statistics for Life Sciences, Medicine, Health Sciences.
Spis treści:
  • 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. .

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