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Table 3 Performance for scenario II 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      
Dealing with clusters Statistical model  
σ2 Bias MSE CP
With stratification by clusters Poisson process AG 0.25 0.0250 0.0036 0.943
0.5 0.0296 0.0040 0.933
1 0.0358 0.0043 0.899
PWP-TT 0.25 -0.0001 0.0037 0.957
0.5 0.0016 0.0037 0.947
1 0.0001 0.0036 0.951
PWP-GT 0.25 0.0367 0.0051 0.898
0.5 0.0387 0.0050 0.901
1 0.0358 0.0047 0.892
Mixed-Poisson process AG 0.25 0.0296 0.0040 0.923
0.5 0.0329 0.0043 0.917
1 0.0397 0.0047 0.870
PWP-TT 0.25 0.0105 0.0038 0.938
0.5 0.0121 0.0039 0.941
1 0.0143 0.0038 0.937
PWP-GT 0.25 0.0545 0.0067 0.844
0.5 0.0573 0.0071 0.820
1 0.0591 0.0070 0.796
Weibull model (parameter constant) AG 0.25 0.0572 0.0069 0.844
0.5 0.0556 0.0067 0.831
1 0.0510 0.0061 0.836
PWP-TT 0.25 0.0531 0.0066 0.852
0.5 0.0512 0.0064 0.857
1 0.0461 0.0058 0.861
PWP-GT 0.25 0.0041 0.0038 0.950
0.5 0.0015 0.0033 0.959
1 0.0008 0.0033 0.939
Weibull model (parameter change) AG 0.25 0.1237 0.0166 0.158
0.5 0.1196 0.0157 0.197
1 0.1087 0.0134 0.275
PWP-TT 0.25 0.0333 0.0034 0.892
0.5 0.0323 0.0034 0.889
1 0.0300 0.0033 0.886
PWP-GT 0.25 -0.0002 0.0022 0.952
0.5 -0.0006 0.0022 0.965
1 0.0005 0.0022 0.954
Without stratification by clusters Poisson process AG 0.25 0.0362 0.0139 0.560
0.5 0.0451 0.0438 0.324
1 0.0666 0.1344 0.172
PWP-TT 0.25 0.0057 0.0179 0.521
0.5 0.0228 0.0537 0.289
1 0.0634 0.1262 0.180
PWP-GT 0.25 0.0361 0.0200 0.481
0.5 0.0552 0.0595 0.274
1 0.1067 0.1530 0.161
Mixed-Poisson process AG 0.25 0.0400 0.0139 0.556
0.5 0.0472 0.0430 0.319
1 0.0696 0.1286 0.179
PWP-TT 0.25 0.0177 0.0162 0.534
0.5 0.0318 0.0489 0.308
1 0.0708 0.1159 0.177
PWP-GT 0.25 0.0527 0.0196 0.477
0.5 0.0697 0.0566 0.290
1 0.1189 0.1440 0.166
Weibull model (parameter constant) AG 0.25 0.0417 0.0195 0.483
0.5 0.0486 0.0623 0.270
1 0.0720 0.1760 0.159
PWP-TT 0.25 0.0405 0.0194 0.482
0.5 0.0558 0.0567 0.286
1 0.0950 0.1295 0.182
PWP-GT 0.25 0.0085 0.0195 0.466
0.5 0.0264 0.0606 0.260
1 0.0828 0.1525 0.168
Weibull model (parameter change) AG 0.25 0.1227 0.0203 0.254
0.5 0.1216 0.0338 0.276
1 0.1227 0.0814 0.186
PWP-TT 0.25 0.0281 0.0156 0.438
0.5 0.0445 0.0456 0.258
1 0.0835 0.1011 0.179
PWP-GT 0.25 0.0068 0.0162 0.429
0.5 0.0274 0.0506 0.255
1 0.0845 0.1259 0.161
  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