activity
20172024
most citedOn the Distinction Between "Conditional Average Treatment Effects" (CATE) and "Individual Treatment Effects" (ITE) Under Ignorability Assumptions

8 citations · 21 across the 7 of their papers we have counts for

collaborators

7 papers

stat.AP2024★ 4 cited

Practical challenges in mediation analysis: A guide for applied researchers

Megan S. Schuler, Donna L. Coffman, Elizabeth A. Stuart +3

Mediation analysis is a statistical approach that can provide insights regarding the intermediary processes by which an intervention or exposure affects a given outcome. Mediation…

stat.ME2021★ 8 cited

On the Distinction Between "Conditional Average Treatment Effects" (CATE) and "Individual Treatment Effects" (ITE) Under Ignorability Assumptions

Brian G. Vegetabile

Recent years have seen a swell in methods that focus on estimating "individual treatment effects". These methods are often focused on the estimation of heterogeneous treatment effe…

stat.ME2021★ 1 cited

Balancing Higher Moments Matters for Causal Estimation: Further Context for the Results of Setodji et al. (2017)

Melody Y. Huang, Brian G. Vegetabile, Lane F. Burgette +2

We expand upon the simulation study of Setodji et al. (2017) which compared three promising balancing methods when assessing the average treatment effect on the treated for binary…

stat.ME2021★ 4 cited

Adjustment for Biased Sampling Using NHANES Derived Propensity Weights

Olivia M. Bernstein, Brian G. Vegetabile, Christian R. Salazar +2

The Consent-to-Contact (C2C) registry at the University of California, Irvine collects data from community participants to aid in the recruitment to clinical research studies. Self…

stat.ME2020★ 3 cited

Reducing bias in difference-in-differences models using entropy balancing

Matthew Cefalu, Brian G. Vegetabile, Michael Dworsky +2

This paper illustrates the use of entropy balancing in difference-in-differences analyses when pre-intervention outcome trends suggest a possible violation of the parallel trends a…

stat.ME2020

Nonparametric Estimation of Population Average Dose-Response Curves using Entropy Balancing Weights for Continuous Exposures

Brian G. Vegetabile, Beth Ann Griffin, Donna L. Coffman +2

Weighted estimators are commonly used for estimating exposure effects in observational settings to establish causal relations. These estimators have a long history of development w…