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Table 2 Impact of individual historical data in conflict with new data in terms of survival distribution for S27a

From: Incorporating individual historical controls and aggregate treatment effect estimates into a Bayesian survival trial: a simulation study

 

W/P/W

W/P/P

W/W/W

α0

Bias

SD

RMSE

Power

Bias

SD

RMSE

Power

Bias

SD

RMSE

Power

0

−0.0142

0.292

0.298

0.358

−0.0087

0.287

0.292

0.345

0.0022

0.275

0.275

0.359

0.3

−0.0541

0.258

0.255

0.447

−0.0366

0.256

0.248

0.416

−0.0070

0.245

0.231

0.396

0.6

−0.0736

0.245

0.248

0.505

−0.0544

0.243

0.240

0.464

−0.0111

0.233

0.218

0.418

1

−0.0883

0.235

0.247

0.554

−0.0702

0.235

0.239

0.518

−0.0141

0.223

0.212

0.448

  1. aResults correspond to scenario S27 defined with Weibull survival distribution for the historical control data and piecewise exponential distribution for the new data with HR = 0.786 and analysed with ω = 0 either with a Weibull model (W/P/W) or with a piecewise exponential model (W/P/P). These results are compared to scenario S3, given as a benchmark and defined by commensurate historical and new control data which follow a Weibull distribution, and are analysed with a Weibull model (W/W/W)