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Table 6 Performance for scenario V 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
E Bias MSE CP Bias MSE CP Bias MSE CP
Poisson 1.5 0.0265 0.0040 0.937 0.0014 0.0041 0.937 0.0498 0.0064 0.848
2 0.0232 0.0045 0.943 0.0015 0.0046 0.938 0.0603 0.0084 0.842
4 0.0110 0.0088 0.944 -0.0012 0.0095 0.938 0.0786 0.0152 0.856
6 0.0066 0.0119 0.954 -0.0021 0.0128 0.948 0.0878 0.0212 0.870
Mixed-Poisson 1.5 0.0289 0.0039 0.930 0.0098 0.0036 0.948 0.0660 0.0079 0.796
2 0.0246 0.0045 0.944 0.0081 0.0045 0.945 0.0740 0.0096 0.809
4 0.0144 0.0086 0.939 0.0050 0.0092 0.928 0.0869 0.0169 0.840
6 0.0082 0.0119 0.947 0.0016 0.0124 0.945 0.0944 0.0218 0.863
Weibull (constant) 1.5 0.0721 0.0084 0.768 0.0689 0.0080 0.793 0.0002 0.0034 0.957
2 0.0876 0.0115 0.724 0.0855 0.0112 0.734 0.0013 0.0042 0.945
4 0.1148 0.0203 0.713 0.1139 0.0202 0.731 -0.0044 0.0080 0.944
6 0.1274 0.0264 0.757 0.1267 0.0264 0.766 -0.0019 0.0107 0.957
Weibull (change) 1.5 0.1363 0.0201 0.122 0.0497 0.0050 0.834 -0.0005 0.0025 0.937
2 0.1391 0.0214 0.213 0.0656 0.0073 0.780 0.0009 0.0031 0.954
4 0.1437 0.0251 0.521 0.0961 0.0149 0.769 -0.0016 0.0063 0.949
6 0.1447 0.0275 0.629 0.1061 0.0193 0.788 -0.0040 0.0089 0.952
  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