Table S3. Mean number of additionally included prognostic variables for all scenarios with K=36. (PDF 68 kb
Figure A4-A6. Graphical representation of scenarios S1 to S32. Graphical representations of scenario...
Tables A13-A16. Impact of α0 and ω on the operating characteristics for scenarios S25 to S32 when th...
Likelihood of the distributions used. Description of the likelihood of a Weibull proportional hazard...
Table S2. Mean number of additionally included prognostic variables for all scenarios with K=24. (PD...
Table S1. Mean number of additionally included prognostic variables for all scenarios with K=12. (PD...
Figure S1. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=12, β k = β eq...
Figure S3. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=24, β k = β eq...
Figure S5. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=36, β k = β eq...
Figure S6. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=36, β k = β v ...
Details of the Partial Least Squared regression methodology, additional details of the simulation de...
Prediction measures of the selected models by the lasso penalty. Additional results of the simulatio...
Tables A1-A3. Impact of α0 and ω on the operating characteristics for scenarios S1 to S12. These tab...
Table S1. TPR, FPR and FDR in variable selection with 50 replications (Weibull distribution). Table ...
Supplementary Note. Additional details describing statistical methods and software. Includes results...
Tables A7-A12. Impact of α0 and ω on the operating characteristics for scenarios S1 to S12 when σ H ...
Figure A4-A6. Graphical representation of scenarios S1 to S32. Graphical representations of scenario...
Tables A13-A16. Impact of α0 and ω on the operating characteristics for scenarios S25 to S32 when th...
Likelihood of the distributions used. Description of the likelihood of a Weibull proportional hazard...
Table S2. Mean number of additionally included prognostic variables for all scenarios with K=24. (PD...
Table S1. Mean number of additionally included prognostic variables for all scenarios with K=12. (PD...
Figure S1. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=12, β k = β eq...
Figure S3. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=24, β k = β eq...
Figure S5. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=36, β k = β eq...
Figure S6. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=36, β k = β v ...
Details of the Partial Least Squared regression methodology, additional details of the simulation de...
Prediction measures of the selected models by the lasso penalty. Additional results of the simulatio...
Tables A1-A3. Impact of α0 and ω on the operating characteristics for scenarios S1 to S12. These tab...
Table S1. TPR, FPR and FDR in variable selection with 50 replications (Weibull distribution). Table ...
Supplementary Note. Additional details describing statistical methods and software. Includes results...
Tables A7-A12. Impact of α0 and ω on the operating characteristics for scenarios S1 to S12 when σ H ...
Figure A4-A6. Graphical representation of scenarios S1 to S32. Graphical representations of scenario...
Tables A13-A16. Impact of α0 and ω on the operating characteristics for scenarios S25 to S32 when th...
Likelihood of the distributions used. Description of the likelihood of a Weibull proportional hazard...
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