Outcome-dependent sampling with interval-censored failure time data.

ABSTRACT: Epidemiologic studies and disease prevention trials often seek to relate an exposure variable to a failure time that suffers from interval-censoring. When the failure rate is low and the time intervals are wide, a large cohort is often required so as to yield reliable precision on the exposure-failure-time relationship. However, large cohort studies with simple random sampling could be prohibitive for investigators with a limited budget, especially when the exposure variables are expensive to obtain. Alternative cost-effective sampling designs and inference procedures are therefore desirable. We propose an outcome-dependent sampling (ODS) design with interval-censored failure time data, where we enrich the observed sample by selectively including certain more informative failure subjects.

SUBMITTER: Zhou Q 

PROVIDER: S-EPMC5797528 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature