Commentary: Right truncation in cluster randomized trials can attenuate the power of a marginal analysis

Fan Li¹, Michael O Harhay^{2

3}

Affiliations

¹ Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
² Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
³ Palliative and Advanced Illness Research (PAIR) Center and Pulmonary and Critical Care Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, PA, USA.

Comment

Fan Li et al. Int J Epidemiol. 2020.

. 2020 Jun 1;49(3):964-967.

doi: 10.1093/ije/dyaa037.

Fan Li¹, Michael O Harhay^{2

3}

¹ Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
² Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
³ Palliative and Advanced Illness Research (PAIR) Center and Pulmonary and Critical Care Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, PA, USA.

No abstract available

Comment on

Power calculations for cluster randomized trials (CRTs) with right-truncated Poisson-distributed outcomes: a motivating example from a malaria vector control trial.
Mwandigha LM, Fraser KJ, Racine-Poon A, Mouksassi MS, Ghani AC. Mwandigha LM, et al. Int J Epidemiol. 2020 Jun 1;49(3):954-962. doi: 10.1093/ije/dyz277. Int J Epidemiol. 2020. PMID: 32011684 Free PMC article.

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