1 code implementation • Journal of Biomedical Informatics 2023 • Gino Tesei, Stefanos Giampanis, Jingpu Shi, Beau Norgeot
The primary difference between causal effect studies utilizing observational data and RCTs is that for observational data, the study occurs after the treatment, and therefore we do not have control over the treatment assignment mechanism.
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no code implementations • 29 Sep 2021 • Gino Tesei, Stefanos Giampanis, Beau Norgeot
Additionally, we show that error improvements between our approach and previously published state-of-art methods widen as a function of sample dissimilarity between treated and untreated covariate distributions.
no code implementations • 29 Sep 2021 • Jingpu Shi, Dong Wang, Gino Tesei, Beau Norgeot
Validation of these models, however, has been a challenge because the ground truth is unknown: only one treatment-outcome pair for each person can be observed.