Skip to main content

Table 5 Performance for scenario IV with true intervention effect of \({\beta }_{t}=-0.264\)

From: Comparison of statistical models for estimating intervention effects based on time-to-recurrent-event in stepped wedge cluster randomized trial using open cohort design

Event generation model     
AG model PWP-TT model PWP-GT model
F Bias MSE CP Bias MSE CP Bias MSE CP
Poisson 1 0.0320 0.0037 0.919 0.0020 0.0033 0.948 0.0429 0.0050 0.876
2 0.0350 0.0036 0.911 0.0015 0.0031 0.944 0.0470 0.0052 0.840
3 0.0361 0.0037 0.910 0.0012 0.0031 0.943 0.0497 0.0054 0.825
4 0.0361 0.0037 0.909 0.0009 0.0031 0.944 0.0512 0.0055 0.810
Mixed-Poisson 1 0.0344 0.0038 0.921 0.0121 0.0033 0.941 0.0604 0.0066 0.799
2 0.0377 0.0038 0.919 0.0128 0.0031 0.945 0.0639 0.0068 0.763
3 0.0388 0.0038 0.911 0.0130 0.0030 0.945 0.0647 0.0068 0.754
4 0.0388 0.0038 0.910 0.0127 0.0030 0.943 0.0643 0.0067 0.745
Weibull (constant) 1 0.0475 0.0051 0.866 0.0429 0.0048 0.882 0.0028 0.0028 0.948
2 0.0418 0.0044 0.886 0.0367 0.0042 0.907 0.0024 0.0025 0.942
3 0.0391 0.0042 0.890 0.0339 0.0039 0.912 0.0026 0.0023 0.945
4 0.0381 0.0041 0.899 0.0329 0.0039 0.913 0.0022 0.0023 0.947
Weibull (change) 1 0.1282 0.0174 0.062 0.0264 0.0026 0.908 0.0001 0.0018 0.950
2 0.1264 0.0169 0.065 0.0233 0.0024 0.922 -0.0002 0.0017 0.946
3 0.1249 0.0165 0.068 0.0222 0.0023 0.930 -0.0004 0.0017 0.949
4 0.1246 0.0165 0.069 0.0219 0.0023 0.930 -0.0004 0.0017 0.949
  1. AG Andersen-Gill, PWP-TT Prentice-Williams-Peterson Total-Time, PWP-GT Prentice-Williams-Peterson Gap-Time, MSE Mean square error, CP Coverage probability