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The Stata Journal
Volume 14 Number 2: pp. 363-380



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A menu-driven facility for power and detectable-difference calculations in stepped-wedge cluster-randomized trials

Karla Hemming
University of Birmingham
Birmingham, UK
k.hemming@bham.ac.uk
Alan Girling
University of Birmingham
Birmingham, UK
a.j.girling@bham.ac.uk
Abstract.  This article introduces the Stata menu-driven program steppedwedge, which calculates detectable differences and power for stepped-wedge randomized trials. The command permits continuous, binary, and rate outcomes (with normal approximations) for comparisons using two-sided tests. The command allows specification of the number of clusters randomized at each step, the number of steps and the average cluster (cell) size, or an incomplete design in which the user specifies the design pattern (a matrix with one row per cluster, one column per time point, and entries indicating exposure and observable data). Cluster heterogeneity can be parameterized using either the intracluster correlation or the coefficient of variation (of the outcome). The command is illustrated via examples.

View all articles by these authors: Karla Hemming, Alan Girling

View all articles with these keywords: steppedwedge, stepped wedge, sample size, cluster-randomized controlled trials, power, detectable difference

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