3 papers
stat.ME2026
The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding
Abhinandan Dalal, Iris Horng, Yang Feng +1
Sensitivity analysis is widely used to assess the robustness of causal conclusions in observational studies, yet its interaction with the structure of measured covariates is often…
stat.ME2025
Planning for gold: Hypothesis screening with split samples for valid powerful testing in matched observational studies
William Bekerman, Abhinandan Dalal, Carlo del Ninno +1
Observational studies are valuable tools for inferring causal effects in the absence of controlled experiments. However, these studies may be biased due to the presence of some rel…
stat.ME2025
Partial Identification of Causal Effects for Endogenous Continuous Treatments
Abhinandan Dalal, Eric J. Tchetgen Tchetgen
No unmeasured confounding is a common assumption when reasoning about counterfactual outcomes, but such an assumption may not be plausible in observational studies. Sensitivity ana…