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Table 4 Performance for scenario III 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 0.0307 0.0037 0.931 0.0015 0.0034 0.947 0.0408 0.0050 0.895
2 0.0338 0.0038 0.936 0.0013 0.0034 0.947 0.0435 0.0051 0.878
3 0.0358 0.0039 0.928 0.0013 0.0034 0.949 0.0447 0.0051 0.863
4 0.0369 0.0041 0.929 0.0010 0.0036 0.952 0.0445 0.0052 0.873
Mixed-Poisson 1 0.0343 0.0041 0.919 0.0126 0.0036 0.945 0.0601 0.0070 0.804
2 0.0366 0.0041 0.907 0.0125 0.0036 0.940 0.0612 0.0069 0.785
3 0.0390 0.0044 0.911 0.0135 0.0037 0.940 0.0615 0.0070 0.790
4 0.0405 0.0045 0.909 0.0139 0.0037 0.938 0.0624 0.0070 0.803
Weibull (constant) 1 0.0453 0.0052 0.874 0.0406 0.0049 0.894 0.0028 0.0030 0.953
2 0.0377 0.0046 0.916 0.0326 0.0044 0.918 0.0011 0.0029 0.959
3 0.0320 0.0042 0.932 0.0264 0.0041 0.934 0.0016 0.0030 0.940
4 0.0280 0.0042 0.938 0.0219 0.0042 0.935 0.0022 0.0030 0.937
Weibull (change) 1 0.1227 0.0161 0.119 0.0235 0.0027 0.929 -0.0002 0.0020 0.951
2 0.1206 0.0156 0.130 0.0173 0.0024 0.939 -0.0008 0.0020 0.944
3 0.1203 0.0155 0.139 0.0148 0.0023 0.949 0.0001 0.0019 0.950
4 0.1202 0.0155 0.133 0.0129 0.0024 0.953 0.0006 0.0020 0.948
  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