43 citations · 101 across the 10 of their papers we have counts for
3 papers · 1 filter
Exploiting independence constraints for efficient estimation of bounds on causal effects in the presence of unmeasured confounding
Ting-Hsuan Chang, Caleb H. Miles, Ilya Shpitser +2
Causal graphs may inform covariate adjustment for estimating causal effects and improve estimation efficiency by exploiting the graphical structure. In many applications, however,…
Causal Inference With Outcome-Dependent Missingness And Self-Censoring
Jacob M Chen, Daniel Malinsky, Rohit Bhattacharya
We consider missingness in the context of causal inference when the outcome of interest may be missing. If the outcome directly affects its own missingness status, i.e., it is "sel…
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects
Daniel Malinsky, Ilya Shpitser, Thomas Richardson
The do-calculus is a well-known deductive system for deriving connections between interventional and observed distributions, and has been proven complete for a number of important…