|Title:||Causal Mediation Analysis Under Partial Compliance in Single-Site and Multisite Randomized Trials|
|Principal Investigator:||Hong, Guanglei||Awardee:||University of Chicago|
|Program:||Statistical and Research Methodology in Education [Program Details]|
|Award Period:||3 years (09/01/2020 – 08/31/2023)||Award Amount:||$899,688|
|Type:||Methodological Innovation||Award Number:||R305D200031|
Co-Principal Investigators: Qin, Xu; Yang, Fan
The purpose of this project is to develop analytic strategies that incorporate instrumental variables for identifying and estimating the average treatment effect (ATE), the moderated ATE, the mediated ATE, and the moderated mediation effects in a single-site randomized trial where the moderator of theoretical interest is individual predisposition for compliance. The research team will also develop approaches to causal moderation and mediation in cluster randomized trials to take into account site-level compliance and its potential effect on treatment effect heterogeneity in the ATE and in mediator effects. Extending the new set of approaches for cluster randomized trials, this study will compare a method-of-moment estimation approach with Bayesian random-effects models.
The researchers will use simulations to test the new techniques and incorporate the techniques into existing statistical software. They will also demonstrate the new approaches on two real datasets: the National Job Corps Study and the Head Start Impact Study. The manuscripts resulting from the research will be primarily sent to statistical journals, but the team also plans to incorporate the new techniques into existing R software they developed, an existing Stata package they developed, and provide the algorithm as stand-alone software for use in Windows. Each of the software updates/additions will be accompanied by corresponding changes to the existing user's guides for the research team's software packages.