SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes

1 code implementation • NeurIPS 2021 • Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela Wood, Mihaela van der Schaar

Most of the medical observational studies estimate the causal treatment effects using electronic health records (EHR), where a patient's covariates and outcomes are both observed longitudinally.

counterfactual

SyncTwin: Transparent Treatment Effect Estimation under Temporal Confounding

no code implementations • 1 Jan 2021 • Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela Wood, Mihaela van der Schaar

Estimating causal treatment effects using observational data is a problem with few solutions when the confounder has a temporal structure, e. g. the history of disease progression might impact both treatment decisions and clinical outcomes.