%0 Journal Article %A Haller, Bernhard %A Ulm, Kurt %D 2018 %T Additional file 5 of A simulation study on estimating biomarker–treatment interaction effects in randomized trials with prognostic variables %U https://springernature.figshare.com/articles/journal_contribution/Additional_file_5_of_A_simulation_study_on_estimating_biomarker_treatment_interaction_effects_in_randomized_trials_with_prognostic_variables/5908555 %R 10.6084/m9.figshare.5908555.v1 %2 https://springernature.figshare.com/ndownloader/files/10543183 %K Biomarker–treatment interaction %K Randomized trial %K Stratified medicine %K Predictive covariates %K Variable selection %X Figure S5. Distribution of β ̂ T × B $\hat {\beta }_{T\times B}$ for scenarios with K=36, β k = β eq , and low censoring (A) or high censoring (B) for no biomarker–treatment interaction (βT×B= ln(1.0)=0, top rows) or qualitative biomarker–treatment interaction (βT×B= ln(1.33)=0.285, bottom rows). Results for different correlation structures are shown in separate columns. The dashed red lines indicate the true value of βT×B, the blue triangles represent the observed confidence interval coverages, the green dots the observed probability for a type I error (A) or estimated power (B). (PDF 20 kb) %I figshare