scholarly journals Optimal designs in three‐level cluster randomized trials with a binary outcome

2019 ◽  
Vol 38 (20) ◽  
pp. 3733-3746 ◽  
Author(s):  
Jingxia Liu ◽  
Lei Liu ◽  
Graham A. Colditz
Keyword(s):  
Randomized Trials ◽  
Optimal Designs ◽  
Cluster Randomized Trials ◽  
Binary Outcome ◽  
Cluster Randomized ◽  
Level Cluster

Response to Is the R coefficient of interest in cluster randomized trials with a binary outcome?

2020 ◽  
Vol 29 (6) ◽  
pp. 1765-1766
Author(s):  
Ariane M Mbekwe Yepnang ◽  
Agnès Caille ◽  
Sandra M Eldridge ◽  
Bruno Giraudeau
Keyword(s):  
Randomized Trials ◽  
Cluster Randomized Trials ◽  
Binary Outcome ◽  
Cluster Randomized

Sample size calculations for 3-level cluster randomized trials

2008 ◽  
Vol 5 (5) ◽  
pp. 486-495 ◽  
Author(s):  
Steven Teerenstra ◽  
Mirjam Moerbeek ◽  
Theo van Achterberg ◽  
Ben J Pelzer ◽  
George F Borm
Keyword(s):  
Sample Size ◽  
Randomized Trials ◽  
Cluster Randomized Trials ◽  
Sample Size Calculations ◽  
Cluster Randomized ◽  
Level Cluster

Power for Detecting Treatment by Moderator Effects in Two- and Three-Level Cluster Randomized Trials

2016 ◽  
Vol 41 (6) ◽  
pp. 605-627 ◽  
Author(s):  
Jessaca Spybrook ◽  
Benjamin Kelcey ◽  
Nianbo Dong
Keyword(s):  
Statistical Power ◽  
Randomized Trials ◽  
A Priori ◽  
Individual Characteristics ◽  
Cluster Randomized Trials ◽  
Moderator Effects ◽  
Effect Of Treatment ◽  
Cluster Randomized ◽  
Level Cluster ◽  
The Impact

Recently, there has been an increase in the number of cluster randomized trials (CRTs) to evaluate the impact of educational programs and interventions. These studies are often powered for the main effect of treatment to address the “what works” question. However, program effects may vary by individual characteristics or by context, making it important to also consider power to detect moderator effects. This article presents a framework for calculating statistical power for moderator effects at all levels for two- and three-level CRTs. Annotated R code is included to make the calculations accessible to researchers and increase the regularity in which a priori power analyses for moderator effects in CRTs are conducted.

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