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Title: Nested case-control studies in cohorts with competing events
Authors: Martin Wolkewitz
Ben S. Cooper
Mercedes Palomar-Martinez
Pedro Olaechea-Astigarraga
Francisco Alvarez-Lerma
Martin Schumacher
Universitat Freiburg im Breisgau
Nuffield Department of Clinical Medicine
Mahidol University
Hospital Universitari Arnau de Vilanova de Lleida
Universitat Autònoma de Barcelona
Hospital de Galdakao
Service of Intensive Care Medicine
Keywords: Medicine
Issue Date: 1-Jan-2014
Citation: Epidemiology. Vol.25, No.1 (2014), 122-125
Abstract: In nested case-control studies, incidence density sampling is the time-dependent matching procedure to approximate hazard ratios. The cumulative incidence function can also be estimated if information from the full cohort is used. In the presence of competing events, however, the cumulative incidence function depends on the hazard of the disease of interest and on the competing events hazard. Using hospital-acquired infection as an example (full cohort), we propose a sampling method for nested case-control studies to estimate subdistribution hazard ratios. With further information on the full cohort, the cumulative incidence function for the event of interest can then be estimated as well. Copyright © 2013 by Lippincott Williams & Wilkins.
ISSN: 15315487
Appears in Collections:Scopus 2011-2015

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