Case-cohort studies with interval-censored failure time data.

TitleCase-cohort studies with interval-censored failure time data.
Publication TypeJournal Article
Year of Publication2017
AuthorsZhou, Q, H Zhou, and J Cai
Date Published2017 Mar

The case-cohort design has been widely used as a means of cost reduction in assembling or measuring expensive covariates in large cohort studies. The existing literature on the case-cohort design is mainly focused on right-censored data. In practice, however, the failure time is often subject to interval-censoring; it is known only to fall within some random time interval. In this paper, we consider the case-cohort study design for interval-censored failure time and develop a sieve semiparametric likelihood approach for analyzing data from this design under the proportional hazards model. We construct the likelihood function using inverse probability weighting and build the sieves with Bernstein polynomials. The consistency and asymptotic normality of the resulting regression parameter estimator are established and a weighted bootstrap procedure is considered for variance estimation. Simulations show that the proposed method works well for practical situations, and an application to real data is provided.

Alternate JournalBiometrika
Original PublicationCase-cohort studies with interval-censored failure time data.
PubMed ID28943643
PubMed Central IDPMC5608290
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
R01 ES021900 / ES / NIEHS NIH HHS / United States