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Competing risk of mortality in association studies of non-fatal events.

TitleCompeting risk of mortality in association studies of non-fatal events.
Publication TypeJournal Article
Year of Publication2021
AuthorsBůzková, P
JournalPLoS One
Volume16
Issue8
Paginatione0255313
Date Published2021
ISSN1932-6203
Abstract<p>In geriatric research of non-fatal events, participants often die during the study follow-up without having the non-fatal event of interest. Cause-specific (CS) hazard regression and Fine-Gray (FG) subdistribution hazard regression are the two most common estimation approaches addressing such competing risk. We explain how the conventional CS approach and the FG approach differ and why many FG estimates of associations are counter-intuitive. Additionally, we clarify the indirect link between models for hazard and models for cumulative incidence. The methodologies are contrasted on data from the Cardiovascular Health Study, a population-based study in adults aged 65 years and older.</p>
DOI10.1371/journal.pone.0255313
Alternate JournalPLoS One
PubMed ID34388170
PubMed Central IDPMC8362942
Grant ListU01 HL080295 / HL / NHLBI NIH HHS / United States
U01 HL130114 / HL / NHLBI NIH HHS / United States
HHSN268200800007C / HL / NHLBI NIH HHS / United States
N01HC55222 / HL / NHLBI NIH HHS / United States
N01HC85086 / HL / NHLBI NIH HHS / United States
N01HC85082 / HL / NHLBI NIH HHS / United States
N01HC85083 / HL / NHLBI NIH HHS / United States
N01HC85080 / HL / NHLBI NIH HHS / United States
N01HC85081 / HL / NHLBI NIH HHS / United States
HHSN268201200036C / HL / NHLBI NIH HHS / United States
HHSN268201800001C / HL / NHLBI NIH HHS / United States
N01HC85079 / HL / NHLBI NIH HHS / United States
R01 AG023629 / AG / NIA NIH HHS / United States
ePub date: 
21/08