6 papers
Semiparametric Efficiency Theory as Differential Calculus on a Space of Probability Distributions
Razieh Nabi
Semiparametric efficiency theory provides the mathematical foundation for influence-function-based estimation, including one-step estimators, targeted minimum loss estimators, and…
Bridging Predictions and Interventions: An Integrated Framework for Automated Decision-Systems
Inioluwa Deborah Raji, Lydia T. Liu, Angela Zhou +27
Automated decision systems (ADS) leverage predictions about individual future outcomes to inform consequential decision-making in organizational settings. Across various settings -…
A Law of Iterated Expectation Primer for Causal Inference
Ashley I. Naimi, Razieh Nabi, Lindsay J. Collin +2
The g-formula is a foundational tool for identifying causal effects in observational data. This tool is based on the law of iterated expectation, a key mathematical identity in sta…
Response to Discussions of "Causal and Counterfactual Views of Missing Data Models"
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser +1
We are grateful to the discussants, Levis and Kennedy [2025], Luo and Geng [2025], Wang and van der Laan [2025], and Yang and Kim [2025], for their thoughtful comments on our paper…
Semiparametric sensitivity analysis: unmeasured confounding in observational studies
Razieh Nabi, Matteo Bonvini, Edward H. Kennedy +3
Establishing cause-effect relationships from observational data often relies on untestable assumptions. It is crucial to know whether, and to what extent, the conclusions drawn fro…
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…