19 citations · 77 across the 16 of their papers we have counts for
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stat.ME2022★ 9 cited
Causal and Counterfactual Views of Missing Data Models
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser +1
It is often said that the fundamental problem of causal inference is a missing data problem -- the comparison of responses to two hypothetical treatment assignments is made difficu…
stat.ME2022★ 1 cited
On Testability of the Front-Door Model via Verma Constraints
Rohit Bhattacharya, Razieh Nabi
The front-door criterion can be used to identify and compute causal effects despite the existence of unmeasured confounders between a treatment and outcome. However, the key assump…
stat.ME2022★ 2 cited
On Testability and Goodness of Fit Tests in Missing Data Models
Razieh Nabi, Rohit Bhattacharya
Significant progress has been made in developing identification and estimation techniques for missing data problems where modeling assumptions can be described via a directed acycl…