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Optimal and Fair Encouragement Designs

Principal Investigator
Name
Angela Zhou
Degrees
Ph.D.
Institution
University of Southern California
Position Title
Assistant Professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1271
Initial CDAS Request Approval
Jul 19, 2023
Title
Optimal and Fair Encouragement Designs
Summary
This project will study covariate adjustment for intention-to-treat effects and optimal treatment regimes for nudging/making available opportunities for screening. A key challenge of optimal encouragement designs is the inability to compel individuals into screening decisions, patients must elect to undergo screening. This can lead to the potential disparities in the efficacies of treatment rules. Under resource constraints on potential incentives to screen, the optimal resource-constrained rule can differ from the resource-unconstrained rule.
Aims

- Conduct covariate-adjusted intention to treat analysis
- Conduct covariate-adjusted adherence analysis
- Descriptive statistics of who adheres/complies with opportunities to screen, complier characteristics
- Optimal treatment regimes with constraints on demographic parity of who receives treatment

Collaborators

Angela Zhou, University of Southern California