Recent & Upcoming Talks

2021

Efficient Estimation of Modified Treatment Policy Effects Based on the Generalized Propensity Score
A Framework for Causal Segmentation Analysis with Machine Learning in Large-Scale Digital Experiments
Nonparametric Estimation of the Generalized Propensity Score Based on the Highly Adaptive Lasso
Leveraging the Causal Effects of Stochastic Interventions to Evaluate Vaccine Efficacy in Two-phase Trials

2020

Leveraging the Causal Effects of Stochastic Interventions to Evaluate Vaccine Efficacy in Two-phase Trials
Evaluating the Causal Impacts of Vaccine-induced Immune Responses in Two-phase Vaccine Efficacy Trials
Evaluating the Causal Impacts of Vaccine-induced Immune Responses in Two-phase Vaccine Efficacy Trials
Efficient Estimation of Stochastic Intervention Effects in Causal Mediation Analysis
Nonparametric Causal Mediation Analysis for Stochastic Interventions

2018

Fair Inference Through Semiparametric-Efficient Estimation Over Constraint-Specific Paths
Data-Adaptive Estimation and Inference for Differential Methylation Analysis
Robust Nonparametric Inference for Stochastic Interventions Under Multi-Stage Sampling
Efficient Estimation of Survival Prognosis Under Immortal Time Bias

2017

Data-Adaptive Estimation and Inference for Differential Methylation Analysis
Finite-Sample Inference and Moderated Statistics for Asymptotically Linear Parameters
Targeted Biomarker Discovery

2016

Ensemble (Machine) Learning with Super Learner and H2O in R
Targeted Learning for High-Dimensional Variable Importance