19 citations · 24 across the 3 of their papers we have counts for
3 papers
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference
M. Usaid Awan, Marco Morucci, Vittorio Orlandi +3
We propose a matching method that recovers direct treatment effects from randomized experiments where units are connected in an observed network, and units that share edges can pot…
Interpretable Almost-Matching-Exactly With Instrumental Variables
M. Usaid Awan, Yameng Liu, Marco Morucci +3
Uncertainty in the estimation of the causal effect in observational studies is often due to unmeasured confounding, i.e., the presence of unobserved covariates linking treatments a…
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
Tianyu Wang, Marco Morucci, M. Usaid Awan +4
A classical problem in causal inference is that of matching, where treatment units need to be matched to control units based on covariate information. In this work, we propose a me…