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Table 1 Setup for simulation study for parameter values except interaction along with the number of clusters, time points, and cluster size

From: Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research

Value for parameter

Reason for determining value

\({\theta }_{0}={\text{log}}\left(0.15/0.85\right)\)

the true log odds ratio of the outcome in the control group (\({W}_{ijk}=0\)) with reference group for binary covariate (\({X}_{ijk}=0\)) for kth individual in ith cluster at jth period. We assume that prevalence of outcome is 15%

\({\gamma }_{1}=0, {\gamma }_{2}=0.1,{\gamma }_{3}=0.2,{\gamma }_{4}=0.3,{\gamma }_{5}=0.4\)

Increasing secular trend

\({{\theta }_{1}={\text{log}}\left(1.35\right); \theta }_{1}={\text{log}}\left(1.68\right)\)

Chosen arbitrarily for small and intermediate effect size for intervention effect

30%, 50%

Prevalence rate for binary covariate

\({\theta }_{2}={\text{log}}\left(1.5\right)\)

Chosen arbitrarily for intermediate effect size for binary covariate

\({\theta }_{3}={\text{log}}\left(1.5\right); {\theta }_{3}={\text{log}}\left(2\right)\)

Chosen arbitrarily for intermediate and large effect size for interaction

\(I=8, 20, 40\)

Number of clusters

\(J=5\)

Number of time steps

\(m=\mathrm{20,40}, 60, \mathrm{80,120}\)

Cluster size

\(ICC=0.1\)

\(ICC=0.1\);\(CAC= 0.8\)

For a simple exchangeable correlation structure

For a nested exchangeable correlation structure