activity
20172020
most citedRobust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial Setting

16 citations · 56 across the 8 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

stat.AP2017★ 16 cited

Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial Setting

Kara E. Rudolph, Oleg Sofrygin, Wenjing Zheng +1

Causal mediation analysis can improve understanding of the mechanisms underlying epidemiologic associations. However, the utility of natural direct and indirect effect estimation h…

stat.CO2017★ 3 cited

Conducting Simulations in Causal Inference with Networks-Based Structural Equation Models

Oleg Sofrygin, Romain Neugebauer, Mark J. van der Laan

The past decade has seen an increasing body of literature devoted to the estimation of causal effects in network-dependent data. However, the validity of many classical statistical…

stat.AP2017

Targeted Learning with Daily EHR Data

Oleg Sofrygin, Zheng Zhu, Julie A Schmittdiel +4

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 pati…

stat.ME2017★ 13 cited

Causal inference for social network data

Elizabeth L. Ogburn, Oleg Sofrygin, Ivan Diaz +1

We describe semiparametric estimation and inference for causal effects using observational data from a single social network. Our asymptotic results are the first to allow for depe…

stat.ME2017★ 8 cited

Sequential Double Robustness in Right-Censored Longitudinal Models

Alexander R. Luedtke, Oleg Sofrygin, Mark J. van der Laan +1

Consider estimating the G-formula for the counterfactual mean outcome under a given treatment regime in a longitudinal study. Bang and Robins provided an estimator for this quantit…