Two-phase sampling with interval-censored data

Epidemiologic studies and disease prevention trials often seek to relate an expensive exposure variable to a failure time that suffers from interval censoring. To reduce the cost and improve study efficiency, we propose two-phase sampling designs with interval-censored data, where the phase II sample for exposure measurement is enriched by selectively including more informative subjects based on phase I information about interval-censored failure time. We also develop semiparametric inference procedures that properly handle interval censoring, biased sampling and missing data.

Speaker: Qingning Zhou, PhD, Assistant Professor of Statistics, University of North Carolina at Charlotte

via Zoom: (Details to follow)