Text

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. 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.

---

Availability

No copy data

Detail Information

Series Title

Springer Series in Statistics

Call Number

-

Publisher

: ., 2016

Collation

X, 247

Language

English

ISBN/ISSN

978-3-319-28156-8

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Statistical Theory and Methods

Specific Detail Info

-

Statement of Responsibility

Gerhard Tutz

Other Information

Cataloger

Devi

Source

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment