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Table 14 Empirical Type I error for OTE \({\theta }_{1}=0\) and HTE \({\theta }_{3}=0\) based on 1,000 simulations using naïve standard error estimator provided by gee function using R. The number of clusters \(I=8\), the total time steps is \(J=5\), the cluster size is \(m=40\) for each cluster, the prevalence of \({X}_{ijk}\) is 50% when estimating HTE, \({\gamma }_{j}=0.1\left(j-1\right)\) for \(j=\mathrm{1,2},\mathrm{3,4},5\), and \({\theta }_{0}={\text{log}}\left(0.15/0.85\right)\)

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

 

Estimating OTE

Estimating HTE

Estimating HTE

Data generating Procedure

\({\text{logit}}\left({\mu }_{ijk}\right)={\theta }_{0}+{\gamma }_{j}\)

\({\text{logit}}\left({\mu }_{ijk}\right)={\theta }_{0}+{\gamma }_{j}\)

\({\text{logit}}\left({\mu }_{ijk}\right)={\theta }_{0}+{\gamma }_{j}+{\text{log}}\left(1.68\right){W}_{ij}+{\text{log}}\left(1.5\right){X}_{ijk}\)

 

\(\alpha =0.1\)

\(\alpha =0.05\)

\(\alpha =0.1\)

\(\alpha =0.05\)

\(\alpha =0.1\)

\(\alpha =0.05\)

\(\rho =1\)

\(0.052\)

\(0.060\)

\(0.054\)

\(0.057\)

\(0.036\)

\(0.043\)

\(\rho =0.5\)

\(0.279\)

\(0.174\)

\(0.048\)

\(0.048\)

\(0.047\)

\(0.048\)

  1. The empirical and model-based calculated variances for the OTE \({\theta }_{1}=0\) and the HTE \({\theta }_{3}=0\) were shown in APPENDIX