Project Activities
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.
People and institutions involved
IES program contact(s)
Project contributors
Products and publications
Cruz-Cortés, E., Yang, F., Juaréz-Colunga, E., Warsavage, T., & Ghosh, D. (2021). Comment on 'Statistical Modelling: the Two Cultures' by Leo Breiman. Observational Studies, 7(1), 41-57.
Hong, G., Yang, F., & Qin, X. (2023). Posttreatment confounding in causal mediation studies: A cutting-edge problem and a novel solution via sensitivity analysis. Biometrics, 79(2), 1042-1056.
Qin, X. (2023). Sample size and power calculations for causal mediation analysis: A Tutorial and Shiny App. Behavior Research Methods, 1-32.
Qin, X. & Yang, F. (2022). Simulation-Based Sensitivity Analysis for Causal Mediation Studies. Psychological Methods, 27(6), 1000-1013.
Questions about this project?
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