crtrest: A command for ratio estimators of intervention effects on event rates in cluster randomized trials

Author:

Ma Xiangmei1,Cheung Yin Bun2

Affiliation:

1. Centre for Quantitative Medicine, Duke–NUS Medical School, Singapore,

2. Centre for Quantitative Medicine and, Programme in Health Services and Systems Research, Duke–NUS Medical School, Singapore and Tampere Center for Child, Adolescent, and Maternal Health Research Tampere University, Tampere, Finland,

Abstract

We describe five asymptotically unbiased estimators of intervention effects on event rates in nonmatched and matched-pair cluster randomized trials, and we present a bias-corrected version of the estimators for use when the number of clusters is small. The estimators are the ratio of mean counts ( r 1), ratio of mean cluster-level event rates ( r 2), ratio of event rates ( r 3), double ratio of counts ( r 4), and double ratio of event rates ( r 5). r 1, r 2, and r 3 estimate the total effect, which comprises the direct and indirect effects; r 4 and r 5 estimate the direct effect. We describe a new command, crtrest, that provides these ratio estimators and their standard errors in nonmatched and matched-pair cluster randomized trials.

Publisher

SAGE Publications

Subject

Mathematics (miscellaneous)

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