This University of Alabama Research Grants Committee project, Power Analysis for Multilevel Randomized Cost-Effectiveness Trials with Binary Effectiveness Measures, supported early methodological work on cost-effectiveness trial planning.
Within the lab, this internal project supported early methods work on cost-effectiveness design and helped build the foundation for later NSF-funded cost-effectiveness trial planning tools.
Project Information
- Funding source: University of Alabama Research Grants Committee
- Role: Principal Investigator
- Project period: May 15, 2018-May 14, 2020
- Award amount: $5,964
Project Focus
- Study power analysis for multilevel randomized cost-effectiveness trials.
- Address binary effectiveness measures.
- Contribute to the foundation for later cost-effectiveness design tools.
Related Publications
- Li, W., Dong, N., Maynard, R., Kelcey, B., Spybrook, J., & Xu, Y. (2025). Sample size planning in the design of two-level randomized cost-effectiveness trials. Research on Social Work Practice, 35(3), 307-320. doi:10.1177/10497315241281501
- Li, W., Dong, N., Maynard, R., Spybrook, J., & Kelcey, B. (2023). Experimental design and statistical power for cluster randomized cost-effectiveness trials. Journal of Research on Educational Effectiveness, 16(4), 681-706. doi:10.1080/19345747.2022.2142177
- Li, W., Dong, N., & Maynard, R. (2020). Power analysis for two-level multisite randomized cost-effectiveness trials. Journal of Educational and Behavioral Statistics, 45(6), 690-718. doi:10.3102/1076998620911916