71 citations · 148 across the 11 of their papers we have counts for
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stat.ME2026
Doubly-robust causal inference for multi-valued treatment regimes with recurrent neural networks
Jason Poulos
We propose a doubly-robust method to estimate the causal effects of multi-valued treatment regimes on patient outcomes. A multi-valued treatment regime assigns personalized treatme…
stat.ME2021
Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment
Jason Poulos, Andrea Albanese, Andrea Mercatanti +1
We propose a method of retrospective counterfactual imputation in panel data settings with later-treated and always-treated units, but no never-treated units. We use the observed o…
stat.ME2019★ 2 cited
Estimating population average treatment effects from experiments with noncompliance
Kellie Ottoboni, Jason Poulos
Randomized control trials (RCTs) are the gold standard for estimating causal effects, but often use samples that are non-representative of the actual population of interest. We pro…