J 2007

Tutorial in biostatistics: Competing risks and multi-state models

PUTTER, H; M FIOCCO and RB GESKUS

Basic information

Original name

Tutorial in biostatistics: Competing risks and multi-state models

Authors

PUTTER, H; M FIOCCO and RB GESKUS

Edition

Statistics in Medicine, CHICHESTER, JOHN WILEY & SONS LTD, 2007, 0277-6715

Other information

Language

English

Type of outcome

Article in a journal

Confidentiality degree

is not subject to a state or trade secret

Impact factor

Impact factor: 1.547

DOI

UT WoS

000246161400007

Keywords in English

competing risks; multi-state model; survival analysis; prognostic factors; prediction

Abstract

V originále

Standard survival data measure the time span from some time origin until the occurrence of one type of event. If several types of events occur, a model describing progression to each of these competing risks is needed. Multi-state models generalize competing risks models by also describing transitions to intermediate events. Methods to analyze such models have been developed over the last two decades. Fortunately, most of the analyzes can be performed within the standard statistical packages, but may require some extra effort with respect to data preparation and programming. This tutorial aims to review statistical methods for the analysis of competing risks and multi-state models. Although some conceptual issues are covered, the emphasis is on practical issues like data preparation, estimation of the effect of covariates, and estimation of cumulative incidence functions and state and transition probabilities. Examples of analysis with standard software are shown. Copyright (C) 2006 John Wiley & Sons, Ltd.