This three-year project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will provide $273,587 to develop model-based and design-based approaches to longitudinal causal decomposition analysis. Led by researchers at the University of California, Riverside, the project aims to identify modifiable risk factors contributing to social disparities. Methodological guidance, an R package, sample code, and video tutorials will be created to help researchers leverage longitudinal data and sequential randomized experimental designs for causal analysis. Graduate students will receive mentoring, and an undergraduate course on quantitative causal reasoning will be established at a minority-serving institution. The project seeks to advance current methods by considering time-varying mediators and outcomes to provide insight into optimal intervention timing for reducing disparities. Experimental designs incorporating hypothetical and tested interventions are also part of the framework under development.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $273.6k | 3/6/23 |