3 papers
stat.ME2026
Valid Inference when Testing Violations of Parallel Trends for Difference-in-Differences
Jonas M. Mikhaeil, Christopher Harshaw
The difference-in-differences (DID) research design is a key identification strategy which allows researchers to estimate causal effects under the parallel trends assumption. While…
stat.OT2025
Russian roulette: The need for stochastic potential outcomes when utilities depend on counterfactuals
Andrew Gelman, Jonas M. Mikhaeil
It has been proposed in medical decision analysis to express the ``first do no harm'' principle as an asymmetric utility function in which the loss from killing a patient would cou…
stat.ME2024
Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
Jonas Mikhaeil, Andrew Gelman, Philip Greengard
Label bias occurs when the outcome of interest is not directly observable and instead, modeling is performed with proxy labels. When the difference between the true outcome and the…