Likelihood of the distributions used. Description of the likelihood of a Weibull proportional hazards model and of a piecewise exponential model. (PDF 198 kb
Simulation results for the estimation of attributable risk A(.) under proportional hazards, constant...
Table S3. Mean number of additionally included prognostic variables for all scenarios with K=36. (PD...
Details of the Partial Least Squared regression methodology, additional details of the simulation de...
Figure A4-A6. Graphical representation of scenarios S1 to S32. Graphical representations of scenario...
R code of to compute the posterior joint distribution in the context of a Bayesian Weibull model (PD...
Tables A13-A16. Impact of α0 and ω on the operating characteristics for scenarios S25 to S32 when th...
Figure A7. Posterior distribution of the log-hazard ratio depending on the values of the weighting p...
Motivating example: the Sarcome-13 trial. Context and design of the Sarcome-13 trial. This document ...
Tables A1-A3. Impact of α0 and ω on the operating characteristics for scenarios S1 to S12. These tab...
Tables A7-A12. Impact of α0 and ω on the operating characteristics for scenarios S1 to S12 when σ H ...
Figure A3. Historical datasets considered in the simulation study. Observed Kaplan-Meier curves of S...
Figure A2. Subgroup of OS2006 historical data (SARC-OS data). Observed Kaplan-Meier and parametric e...
Figure A1. Mixture prior distribution of the treatment effect for different values of ω. Mixture pri...
Table S1. TPR, FPR and FDR in variable selection with 50 replications (Weibull distribution). Table ...
Table S2. Mean number of additionally included prognostic variables for all scenarios with K=24. (PD...
Simulation results for the estimation of attributable risk A(.) under proportional hazards, constant...
Table S3. Mean number of additionally included prognostic variables for all scenarios with K=36. (PD...
Details of the Partial Least Squared regression methodology, additional details of the simulation de...
Figure A4-A6. Graphical representation of scenarios S1 to S32. Graphical representations of scenario...
R code of to compute the posterior joint distribution in the context of a Bayesian Weibull model (PD...
Tables A13-A16. Impact of α0 and ω on the operating characteristics for scenarios S25 to S32 when th...
Figure A7. Posterior distribution of the log-hazard ratio depending on the values of the weighting p...
Motivating example: the Sarcome-13 trial. Context and design of the Sarcome-13 trial. This document ...
Tables A1-A3. Impact of α0 and ω on the operating characteristics for scenarios S1 to S12. These tab...
Tables A7-A12. Impact of α0 and ω on the operating characteristics for scenarios S1 to S12 when σ H ...
Figure A3. Historical datasets considered in the simulation study. Observed Kaplan-Meier curves of S...
Figure A2. Subgroup of OS2006 historical data (SARC-OS data). Observed Kaplan-Meier and parametric e...
Figure A1. Mixture prior distribution of the treatment effect for different values of ω. Mixture pri...
Table S1. TPR, FPR and FDR in variable selection with 50 replications (Weibull distribution). Table ...
Table S2. Mean number of additionally included prognostic variables for all scenarios with K=24. (PD...
Simulation results for the estimation of attributable risk A(.) under proportional hazards, constant...
Table S3. Mean number of additionally included prognostic variables for all scenarios with K=36. (PD...
Details of the Partial Least Squared regression methodology, additional details of the simulation de...
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