项目 A Statistical Framework and Tools for Planning Multilevel Randomized Cost-Effectiveness Trials 发展用于规划教育和社会项目评估的统计方法与软件，使影响证据与成本证据能够结合起来。
在实验室中，该项目是成本效果试验规划方法、软件和传播工作的主要项目。它将影响评估与成本证据连接起来，使研究设计能够更好支持教育决策。
项目信息
- 资助机构： National Science Foundation
- Award ID： DRL-2000705
- 角色： 共同主持人及 University of Florida 校区 PI
- PI/Co-PIs： Nianbo Dong, Rebecca Maynard, Ben Kelcey, Jessaca Spybrook, Wei Li
- 项目周期： 2020 年 9 月 1 日-2023 年 8 月 31 日；无经费延期至 2026 年 8 月 31 日
- 资助金额： $1,274,904
- UF subcontract： $211,051
项目重点
- 发展用于多层随机成本效果试验规划的统计工具。
- 在同时考虑结果、影响和成本时支持功效与样本量规划。
- 为设计教育和社会项目评估的研究者提供软件和指南。
相关论文
- 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
- Dong, N., Maynard, R., Kelcey, B., Spybrook, J., Li, W., & Bowden, B. (2025). Advantages of Monte Carlo confidence intervals for incremental cost-effectiveness ratios: A comparison of five methods. Journal of Research on Educational Effectiveness, 18(4), 951-979. doi:10.1080/19345747.2024.2393412
- 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
相关软件
- Li, W., Dong, N., Maynard, R. A., Spybrook, J., & Kelcey, B. (2023). PowerUp!-CEA: A tool for calculating statistical power in multilevel randomized cost-effectiveness trials (Version 1.2). 资源.
相关报告
- Dong, N., Li, W., & Kelcey, B. (2025). Statistical power for incremental cost-effectiveness ratios: A Monte Carlo confidence interval approach. SREE Annual Meeting.
- Dong, N., Li, W., & Kelcey, B. (2025). Statistical power for incremental cost-effectiveness ratios based on Monte Carlo intervals in multisite randomized trials. AERA Annual Meeting.
- Dong, N., Maynard, R., Li, W., Kelcey, B., & Qiu, P. (2024). Methods and tools for comparing and interpreting incremental cost-effectiveness ratios. SREE Annual Meeting.
- Li, W., Dong, N., Maynard, R., Kelcey, B., Spybrook, J., & Xu, Y. (2024). Power analysis for multisite randomized cost-effectiveness trials with site fixed effects. AERA Annual Meeting.
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NSF 致谢与免责声明
本材料基于美国国家科学基金会（NSF）Award No. DRL-2000705 支持的工作。任何观点、发现、结论或建议均为作者观点，并不一定代表 NSF 的观点。