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

Author

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  • Xiangmei Ma

    (Duke–NUS Medical School)

  • Yin Bun Cheung

    (Duke–NUS Medical School)

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 (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). r1, r2, and r3 estimate the total effect, which comprises the direct and indirect effects; r4 and r5 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.

Suggested Citation

  • Xiangmei Ma & Yin Bun Cheung, 2022. "crtrest: A command for ratio estimators of intervention effects on event rates in cluster randomized trials," Stata Journal, StataCorp LP, vol. 22(4), pages 908-923, December.
    • Handle: RePEc:tsj:stataj:v:22:y:2022:i:4:p:908-923
    DOI: 10.1177/1536867X221141012
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