Modeling Discrete Time-to-Event Data / by Gerhard Tutz, Matthias Schmid.

Format:

Book

Author/Creator:

Tutz, Gerhard., Author.

Schmid, Matthias., Author.

Series:

Springer Series in Statistics, 2197-568X

Language:

English

Subjects (All):

Statistics.

Biometry.

Social sciences--Statistical methods.

Social sciences.

Mathematical statistics--Data processing.

Mathematical statistics.

Statistical Theory and Methods.

Biostatistics.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Statistics and Computing.

Local Subjects:

Statistical Theory and Methods.

Biostatistics.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Statistics and Computing.

Physical Description:

1 online resource (X, 247 p. 58 illus., 3 illus. in color.)

Edition:

1st ed. 2016.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

Summary:

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. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book. .

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

List of Examples

Bibliography

Subject Index

Author Index.

Notes:

Includes bibliographical references and index.

ISBN:

9783319281582

3319281585