6 papers · 1 filter
Heterogeneous Effects of Continuous Treatments via Conditional Modified Treatment Policies
Samhita Pal, Jared D Huling
For continuous treatments such as drug dose or ventilator intensity, a key clinically actionable question is whether a modest, patient-specific adjustment to the current dose would…
B-CALM: Bias-Limited Bayesian Borrowing for RCT-Anchored Treatment Effects under Covariate Mismatch
Amir Asiaee, Samhita Pal
Randomized controlled trials (RCTs) identify treatment effects in the randomized trial population but are often too small for reliable heterogeneity estimation; observational studi…
Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
Amir Asiaee, Samhita Pal, Cole Beck +1
Generalizing treatment effects from a randomized trial to a target population requires the assumption that potential outcome distributions are invariant across populations after co…
Omitted-Variable Sensitivity Analysis for Generalizing Randomized Trials
Amir Asiaee, Samhita Pal, Jared D. Huling
Randomized controlled trials (RCTs) yield internally valid causal effect estimates, but generalizing these results to target populations with different characteristics requires an…
Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
Samhita Pal, Jared D. Huling, Amir Asiaee
We develop estimators that improve precision of heterogeneous treatment effect estimates that allow borrowing information from observational studies when the available covariates i…
Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
Amir Asiaee, Chiara Di Gravio, Cole Beck +3
Understanding how treatment effects vary across patient characteristics is essential for personalized medicine, yet randomized controlled trials (RCTs) are often underpowered to de…