Evaluation of the type I error rate when using parametric bootstrap analysis of a cluster randomized controlled trial with binary outcomes and a small number of clusters

• Published in: Computer methods and programs in biomedicine Vol. 215; p. 106654
• Main Authors: Golzarri-Arroyo, Lilian, Dickinson, Stephanie L., Jamshidi-Naeini, Yasaman, Zoh, Roger S., Brown, Andrew W., Owora, Arthur H., Li, Peng, Oakes, J. Michael, Allison, David B.
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.03.2022
• Subjects: Cluster Analysis; Computer Simulation; Humans; Linear Models; Research Design; Sample Size

•The type I error rate is inflated under scenarios of a small number of clusters per treatment in a cluster randomized trials when using parametric bootstrap.•When analyzing cluster randomized trials, the pbkrtest package is limited in performance as it resamples the observations ignoring clusters.•...