Incorporating survival data into case-control studies with incident and prevalent cases.

ABSTRACT: Typically, case-control studies to estimate odds-ratios associating risk factors with disease incidence only include newly diagnosed cases. Recently proposed methods allow incorporating information on prevalent cases, individuals who survived from disease diagnosis to sampling, into cross-sectionally sampled case-control studies under parametric assumptions for the survival time after diagnosis. Here we propose and study methods to additionally use prospectively observed survival times from prevalent and incident cases to adjust logistic models for the time between diagnosis and sampling, the backward time, for prevalent cases. This adjustment yields unbiased odds-ratio estimates from case-control studies that include prevalent cases. We propose a computationally simple two-step generalize

SUBMITTER: Mandal S 

PROVIDER: S-EPMC8620394 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature