Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine

Peisong Zhang, Manqiang Peng, Yuxuan Wu +21

Estimating individualized treatment effects from longitudinal observational data is central to data-driven medicine, yet existing methods face a fundamental limitation: reducing co…