2 papers
stat.ML2025
Assessment of the conditional exchangeability assumption in causal machine learning models: a simulation study
Gerard T. Portela, Jason B. Gibbons, Sebastian Schneeweiss +1
Observational studies developing causal machine learning (ML) models for the prediction of individualized treatment effects (ITEs) seldom conduct empirical evaluations to assess th…
cs.SI2024
LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data
Vijeta Deshpande, Minhwa Lee, Zonghai Yao +3
Prior research on Twitter (now X) data has provided positive evidence of its utility in developing supplementary health surveillance systems. In this study, we present a new framew…