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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Harrell , Jr., Frank E. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:2nd ed. 2015.
Colección:Springer Series in Statistics,
Temas:
Statistics .
Biometry.
Mathematical statistics-Data processing.
Statistical Theory and Methods.
Biostatistics.
Statistics and Computing.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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