Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation.

ABSTRACT: Cluster randomized trials (CRTs) are widely used in epidemiological and public health studies assessing population-level effect of group-based interventions. One important application of CRTs is the control of vector-borne disease, such as malaria. However, a particular challenge for designing these trials is that the primary outcome involves counts of episodes that are subject to right truncation. While sample size formulas have been developed for CRTs with clustered counts, they are not directly applicable when the counts are right truncated. To address this limitation, we discuss two marginal modeling approaches for the analysis of CRTs with truncated counts and develop two corresponding closed-form sample size formulas to facilitate the design of such trials. The proposed sample size f

SUBMITTER: Li F 

PROVIDER: S-EPMC9132617 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature