Estimation of conditional power for cluster-randomized trials with interval-censored endpoints.

ABSTRACT: Cluster-randomized trials (CRTs) of infectious disease preventions often yield correlated, interval-censored data: dependencies may exist between observations from the same cluster, and event occurrence may be assessed only at intermittent study visits. This data structure must be accounted for when conducting interim monitoring and futility assessment for CRTs. In this article, we propose a flexible framework for conditional power estimation when outcomes are correlated and interval-censored. Under the assumption that the survival times follow a shared frailty model, we first characterize the correspondence between the marginal and cluster-conditional survival functions, and then use this relationship to semiparametrically estimate the cluster-specific survival distributions from the avai

SUBMITTER: Cook K 

PROVIDER: S-EPMC8979414 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature