Nested case-control studies in cohorts with competing events

Martin Wolkewitz, Ben S. Cooper, Mercedes Palomar-Martinez, Pedro Olaechea-Astigarraga, Francisco Alvarez-Lerma, Martin Schumacher

Research output: Contribution to journalArticleResearchpeer-review

9 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)122-125
JournalEpidemiology
Volume25
Issue number1
DOIs
Publication statusPublished - 1 Jan 2014

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