Modeling Discrete Time-to-Event Data

• Main Authors: Tutz, Gerhard (Author), Schmid, Matthias (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Springer Series in Statistics,
• Subjects: Statistics.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Statistics and Computing/Statistics Programs.

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...

Table of Contents:

• 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.