Modeling Discrete Time-to-Event Data

This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Tutz, Gerhard (Autor), Schmid, Matthias (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Springer Series in Statistics,
Temas:
Statistics .
Biometry.
Social sciences > Statistical methods.
Mathematical statistics > Data processing.
Statistical Theory and Methods.
Biostatistics.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Statistics and Computing.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • The Life Table
  • Basic Regression Models
  • Evaluation and Model Choice
  • Nonparametric Modelling and Smooth Effects
  • Tree-Based Approaches
  • High-Dimensional Models - Structuring and Selection of Predictors
  • Competing Risks Models
  • Multiple-Spell Analysis
  • Frailty Models and Heterogeneity
  • Multiple-Spell Analysis
  • List of Examples
  • Bibliography
  • Subject Index
  • Author Index.

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