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Case-cohort analysis with accelerated failure time model.

TitleCase-cohort analysis with accelerated failure time model.
Publication TypeJournal Article
Year of Publication2009
AuthorsKong L, Cai J
Date Published2009 Mar
KeywordsBiometry, Cardiovascular Diseases, Cohort Studies, Data Interpretation, Statistical, Humans, Models, Theoretical

In a case-cohort design, covariates are assembled only for a subcohort that is randomly selected from the entire cohort and any additional cases outside the subcohort. This design is appealing for large cohort studies of rare disease, especially when the exposures of interest are expensive to ascertain for all the subjects. We propose statistical methods for analyzing the case-cohort data with a semiparametric accelerated failure time model that interprets the covariates effects as to accelerate or decelerate the time to failure. Asymptotic properties of the proposed estimators are developed. The finite sample properties of case-cohort estimator and its relative efficiency to full cohort estimator are assessed via simulation studies. A real example from a study of cardiovascular disease is provided to illustrate the estimating procedure.

Alternate JournalBiometrics
PubMed ID18537948
PubMed Central IDPMC2990888
Grant ListR01 HL057444 / HL / NHLBI NIH HHS / United States
R01 HL057444-12 / HL / NHLBI NIH HHS / United States
R01 HL-57444 / HL / NHLBI NIH HHS / United States