6 papers
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…
Causal Inference for Functional Treatments with Stochastic Policies
Martha Barnard, Jared D. Huling, Julian Wolfson
Wearable devices can accurately measure human behavior, providing a unique opportunity to understand how behavior impacts health. Recent studies leveraging functional regression me…
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…
Estimation of heterogeneous principal effects under principal ignorability
Rui Zhang, Charles R. Doss, Jared D. Huling
We study estimation and inference for heterogeneous principal causal effects with binary treatments and binary intermediate variables. Principal causal effects are subgroup effects…
Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations
Martha Barnard, Jared D. Huling, Julian Wolfson
Positivity violations, which occur when some subgroups either always or never receive a treatment of interest, pose significant challenges for causal effect estimation with observa…