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Author

Harsh Parikh

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Preprint Sep 2026

Proximal causal inference through cross-proxy balancing

Proximal causal inference identifies causal effects in the presence of unmeasured confounding by drawing on two sets of proxy variables. Identification typically utilizes bridge functions, defined as solutions to integral equations. However, the mechanism by which fitted bridge functions correct for confounding bias re...

Grace V. Ringlein, T. Nguyen, Elizabeth A. Stuart et al. · 0 citations
Preprint Jul 2026

Towards Optimal Estimators for Randomized Control Trials

Results reveal that optimal estimators vary significantly by analytical objective: weighted least squares performs best for inference goals, while difference-in-means minimizes regret for decision-making contexts.

Harsh Parikh, Gabriel Levin-Konigsberg, Nilesh Tripuraneni et al. · 0 citations

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