3 papers
stat.ME2025
A causal fused lasso for interpretable heterogeneous treatment effects estimation
Oscar Hernan Madrid Padilla, Yanzhen Chen, Carlos Misael Madrid Padilla +1
We propose a novel method for estimating heterogeneous treatment effects based on the fused lasso. By first ordering samples based on the propensity or prognostic score, we match u…
stat.ME2024
High confidence inference on the probability an individual benefits from treatment using experimental or observational data with known propensity scores
Gabriel Ruiz, Oscar Hernan Madrid Padilla
We seek to understand the probability an individual benefits from treatment (PIBT), an inestimable quantity that must be bounded in practice. Given the innate uncertainty in the po…
cs.LG2024
Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment
Gabriel Ruiz
We cover how to determine a sufficiently large sample size for a -armed randomized experiment in order to estimate conditional counterfactual expectations in data-driven subgrou…