Machine learning in causal inference: Application in pharmacovigilance

Y Zhao, Y Yu, H Wang, Y Li, Y Deng, G Jiang, Y Luo - Drug Safety, 2022 - Springer
Monitoring adverse drug events or pharmacovigilance has been promoted by the World
Health Organization to assure the safety of medicines through a timely and reliable …

An application of matching after learning to stretch (MALTS) to the ACIC 2018 causal inference challenge data

H Parikh, C Rudin, A Volfovsky - Observational Studies, 2019 - muse.jhu.edu
In the learning-to-match framework for causal inference, a parameterized distance metric is
trained on a holdout train set so that the matching yields accurate estimated conditional …