PUTTER, H, M FIOCCO and RB GESKUS. Tutorial in biostatistics: Competing risks and multi-state models. Statistics in Medicine. CHICHESTER: JOHN WILEY & SONS LTD, 2007, vol. 26, No 11, p. 2389-2430. ISSN 0277-6715. Available from: https://dx.doi.org/10.1002/sim.2712.
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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
Original 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 http://dx.doi.org/10.1002/sim.2712
UT WoS 000246161400007
Keywords in English competing risks; multi-state model; survival analysis; prognostic factors; prediction
Changed by Changed by: doc. Mgr. Zdeněk Valenta, M.Sc., M. S., Ph.D., učo 232785. Changed: 25/1/2017 00:45.
Abstract
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.
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