NSF award 2610432 · University of California-Riverside

Robust Treatment-Effect Learning Beyond Binary Treatments: Stabilized Weighting with Deep Representation

Final report due

28 October 2029

in 1,106 days · The award ends on 30 June 2029.

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award ending 2029-06-30 · Research.gov
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Final report due28 Oct 2029in 1106 days
award ending 2029-06-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Oct 2029in 1106 days
award ending 2029-06-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Oct 2029in 1106 days
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So the final report is due by 28 October 2029.

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Award card

Award number: 2610432
Period of support: 1 Jul 2026 – 30 Jun 2029
Amount: $199,065
Awardee: University of California-Riverside, Riverside, CA
Program: STATISTICS
Directorate: MPS

Abstract

Modern scientific, medical, and policy decisions increasingly rely on observational data to evaluate the effects of interventions such as medical treatments, public programs, and behavioral exposures. Many of these interventions are multi-level or continuous, such as medication dosage or program participation intensity, rather than simple binary choices. However, existing statistical methods, including widely used…

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