Nonparametric Causal Mediation Analysis
Last updated on
Fri, Oct 23, 2020
Nima Hejazi
Assistant Professor of Biostatistics
My research lies at the intersection of causal inference and machine learning, developing flexible methodology for statistical inference tailored to modern experiments and observational studies in the biomedical and public health sciences.
Publications
Nonparametric causal mediation analysis for stochastic interventional (in)direct effects
Causal mediation analysis has historically been limited in two important regards: (i) a focus has traditionally been placed on binary …
medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R
The
medoutcon R package provides facilities for efficient estimation of path-specific (in)direct effects that measure the impact of a …
Non-parametric efficient causal mediation with intermediate confounders
Interventional effects for mediation analysis were proposed as a solution to the lack of identifiability of natural (in)direct effects …
Causal mediation analysis for stochastic interventions
Mediation analysis in causal inference has traditionally focused on binary treatment regimes and deterministic interventions, as well …
Iván Díaz, Nima Hejazi
Talks
Evaluating Treatment Efficacy in Clinical Trials with Two-phase Designs Using Stochastic-interventional Causal Effects
In clinical trials randomizing participants to active vs. control conditions and following units until the occurrence of a primary …
Mon, Dec 19, 2022 4:20 PM
London, England, UK
Using Stochastic-interventional Causal Effects to Evaluate Treatment Efficacy in Clinical Trials
In clinical trials randomizing participants to active vs. control conditions and following study units until the occurrence of a …
Thu, Dec 1, 2022 12:00 PM
Boston, MA, USA
Evaluating the Causal Impacts of Vaccine-induced Immune Responses in Two-phase Vaccine Efficacy Trials
Causal inference has traditionally focused on the effects of static interventions, under which the magnitude of the treatment is set to …
Wed, Nov 4, 2020 1:30 PM
Berkeley, California, United States (remote due to COVID-19)
Evaluating the Causal Impacts of Vaccine-induced Immune Responses in Two-phase Vaccine Efficacy Trials
Causal inference has traditionally focused on the effects of static interventions, under which the magnitude of the treatment is set to …
Thu, Oct 15, 2020 9:00 AM
Berkeley, California, United States (remote due to COVID-19)
Efficient Estimation of Stochastic Intervention Effects in Causal Mediation Analysis
Mediation analysis in causal inference has traditionally centered on static interventions and binary exposures, with classical theory …
Thu, Aug 6, 2020 10:00 AM
Philadelphia, Pennsylvania, United States (remote due to COVID-19)
Nonparametric Causal Mediation Analysis for Stochastic Interventions
Mediation analysis in causal inference has traditionally centered on static interventions and binary exposures, with classical theory …
Wed, Apr 29, 2020 1:30 PM
Berkeley, California, United States (remote due to COVID-19)