1 citations · 1 across the 5 of their papers we have counts for
5 papers
Robustifying and Selecting Cohort-Appropriate Prognostic Models under Distributional Shifts
Dimitris Bertsimas, Carol Gao, Angelos G. Koulouras +1
External validation is widely regarded as the gold standard for prognostic model evaluation. In this study, we challenge the assumption that successful external calibration guarant…
Observing the unobserved confounding through its effects: toward randomized trial-like estimates from real-world survival data
Vasiliki Stoumpou, Dimitris Bertsimas, Samuel Singer +1
Background: Randomized controlled trials (RCTs) are costly, time-consuming, and often infeasible, while treatment-effect estimation from observational data is limited by unobserved…
Improving Survival Models in Healthcare by Balancing Imbalanced Cohorts: A Novel Approach
Catherine Ning, Dimitris Bertsimas, Johan Gagnière +11
We explore whether survival model performance in underrepresented high- and low-risk subgroups - regions of the prognostic spectrum where clinical decisions are most consequential…
The R.O.A.D. to clinical trial emulation
Dimitris Bertsimas, Angelos G. Koulouras, Hiroshi Nagata +4
Observational studies provide the only evidence on the effectiveness of interventions when randomized controlled trials (RCTs) are impractical due to cost, ethical concerns, or tim…
The R.O.A.D. to precision medicine
Dimitris Bertsimas, Angelos G. Koulouras, Georgios Antonios Margonis
We propose a prognostic stratum matching framework that addresses the deficiencies of Randomized trial data subgroup analysis and transforms ObservAtional Data to be used as if the…