Search Results for author:
Found 4 papers, 3 papers with code
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
The Predictor's objective is to learn a function that maps from a new feature to an estimate of the associated outcome.
Targeted Learning with Daily EHR Data
Electronic health records (EHR) data provide a cost and time-effective opportunity to conduct cohort studies of the effects of multiple time-point interventions in the diverse patient population found in real-world clinical settings.
Causal inference for social network data
We describe semiparametric estimation and inference for causal effects using observational data from a single social network.
Methodology Statistics Theory Statistics Theory
Sequential Double Robustness in Right-Censored Longitudinal Models
Consider estimating the G-formula for the counterfactual mean outcome under a given treatment regime in a longitudinal study.
Methodology
