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Communications in Statistics - Simulation and Computation Volume 46, 2017 - Issue 7
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Original Articles

Competing risks simulation with the survsim R package

D. MoriñaUnit of Infections and Cancer (UNIC), Cancer Epidemiology Research Group (CERP), Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, Spain;Grups de Recerca d’Àfrica i Amèrica Llatines (GRAAL), Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, SpainORCID Iconhttp://orcid.org/0000-0001-5949-7443
ORCID Icon &
A. NavarroGrups de Recerca d’Àfrica i Amèrica Llatines (GRAAL), Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, SpainCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0001-7153-4673
ORCID Icon
Pages 5712-5722 | Received 26 May 2015, Accepted 30 Mar 2016, Published online: 15 Mar 2017
 
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ABSTRACT

The goal of this work is to describe how the last version available of the survsim R package can be used to simulate a cohort in a competing risks context by means of a cause-specific hazards model following the ideas introduced by Beyersmann in 2009, and also allowing for individual heterogeneity through a random effect. An example of its application based on a real cohort will be discussed.

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