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