Causal Inference with Stochastic Interventions
Nima Hejazi
PhD Candidate in Biostatistics
My research interests lie at the intersection of causal inference and machine learning, especially as applied to the statistical analysis of complex data from observational studies and experiments in the biomedical and health sciences.
Publications
Causal mediation analysis for stochastic interventions
Mediation analysis in causal inference has traditionally focused on binary treatment regimes and deterministic interventions, as well …
Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy assessment
The advent and subsequent widespread availability of preventive vaccines has altered the course of public health in the twentieth …
Talks
Robust Inference on the Causal Effects of Stochastic Interventions Under Two-Phase Sampling, with Applications in Vaccine Efficacy Trials
Much of the focus of statistical causal inference has been devoted to assessing the effects of static interventions, which specify a …
Robust Nonparametric Inference for Stochastic Interventions Under Multi-Stage Sampling
Perhaps too often, work in statistical causal inference focuses on the effect of deterministic interventions, under which, for each …