LEAPS-MPS: A Bayesian Framework for Multilevel and High Dimensional Causal Mediation Analy — NSF Award to Western Michigan Univers
In epidemiology and many other disciplines, it is often of interest to evaluate an overall treatment or exposure effect on a response. Of even greater interest is to explain the underlying mechanism by which the effect of an exposure on the outcome is mediated through a casual intermediate variable or mediator. In prac
| Award title | LEAPS-MPS: A Bayesian Framework for Multilevel and High Dimensional Causal Mediation Analy |
|---|---|
| Award ID | 2418816 |
| Awardee | Western Michigan University |
| City | KALAMAZOO |
| State | MI |
| Amount obligated | $241,432 |
| Principal investigator | Duy Ngo |
| Program | LEAPS-MPS |
| Start date | 09/01/2024 |
| Abstract | In epidemiology and many other disciplines, it is often of interest to evaluate an overall treatment or exposure effect on a response. Of even greater interest is to explain the underlying mechanism by which the effect of an exposure on the outcome is mediated through a casual intermediate variable or mediator. In practice, mediation analysis utilizes one or more measured mediators hypothesized to lie on the causal pathway between the exposure and the outcome. With the advancement of high-throug |
| Source | NSF Awards |
$799/mo
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