2007
Tutorial in biostatistics: Competing risks and multi-state models
PUTTER, H; M FIOCCO a RB GESKUSZákladní údaje
Originální název
Tutorial in biostatistics: Competing risks and multi-state models
Autoři
PUTTER, H; M FIOCCO a RB GESKUS
Vydání
Statistics in Medicine, CHICHESTER, JOHN WILEY & SONS LTD, 2007, 0277-6715
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 1.547
Označené pro přenos do RIV
Ne
UT WoS
Klíčová slova anglicky
competing risks; multi-state model; survival analysis; prognostic factors; prediction
Změněno: 25. 1. 2017 00:45, doc. Mgr. Zdeněk Valenta, M.Sc., M. S., Ph.D.
Anotace
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.