Ratio estimators of intervention effects on event rates in cluster randomized trials.

ABSTRACT: We consider five asymptotically unbiased estimators of intervention effects on event rates in non-matched and matched-pair cluster randomized trials, including ratio of mean counts r1 , ratio of mean cluster-level event rates r2 , ratio of event rates r3 , double ratio of counts r4 , and double ratio of event rates r5 . In the absence of an indirect effect, they all estimate the direct effect of the intervention. Otherwise, r1 , r2, and r3 estimate the total effect, which comprises the direct and indirect effects, whereas r4 and r5 estimate the direct effect only. We derive the conditions under which each estimator is more precise or powerful than its alternatives. To control bias in studies with a small number of clusters, we propose a set of approximately unbiased estimators. We evaluate

SUBMITTER: Ma X 

PROVIDER: S-EPMC9292872 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature