8 citations · 21 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…