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Power Analysis for Two-Level Multisite Randomized Cost-Effectiveness Trials

Author

Listed:
  • Wei Li

    (8063University of Alabama)

  • Nianbo Dong

    (2331University of North Carolina at Chapel Hill)

  • Rebecca A. Maynard

    (6572University of Pennsylvania)

Abstract

Cost-effectiveness analysis is a widely used educational evaluation tool. The randomized controlled trials that aim to evaluate the cost-effectiveness of the treatment are commonly referred to as randomized cost-effectiveness trials (RCETs). This study provides methods of power analysis for two-level multisite RCETs. Power computations take account of sample sizes, the effect size, covariates effects, nesting effects for both cost and effectiveness measures, the ratio of the total variance of the cost measure to the total variance of effectiveness measure, and correlations between cost and effectiveness measures at each level. Illustrative examples that show how power is influenced by the sample sizes, nesting effects, covariate effects, and correlations between cost and effectiveness measures are presented. We also demonstrate how the calculations can be applied in the design phase of two-level multisite RCETs using the software PowerUp!-CEA (Version 1.0).

Suggested Citation

  • Wei Li & Nianbo Dong & Rebecca A. Maynard, 2020. "Power Analysis for Two-Level Multisite Randomized Cost-Effectiveness Trials," Journal of Educational and Behavioral Statistics, , vol. 45(6), pages 690-718, December.
  • Handle: RePEc:sae:jedbes:v:45:y:2020:i:6:p:690-718
    DOI: 10.3102/1076998620911916
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    References listed on IDEAS

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    1. Herrera-Araujo, Daniel & Shaywitz, Bennett A. & Holahan, John M. & Marchione, Karen E. & Michaels, Reissa & Shaywitz, Sally E. & Hammitt, James K., 2017. "Evaluating Willingness to Pay as a Measure of the Impact of Dyslexia in Adults," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 8(1), pages 24-48, April.
    2. Mustafa, Nasreen, 2018. "Cost-effectiveness analysis: Educational interventions that reduce the incidence of HIV/AIDS infection in Kenyan teenagers," International Journal of Educational Development, Elsevier, vol. 62(C), pages 264-269.
    3. repec:mpr:mprres:5863 is not listed on IDEAS
    4. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits," Medical Decision Making, , vol. 18(2_suppl), pages 68-80, April.
    5. Md Abu Manju & Math J. J. M. Candel & Gerard J. P. van Breukelen, 2019. "SamP2CeT: an interactive computer program for sample size and power calculation for two-level cost-effectiveness trials," Computational Statistics, Springer, vol. 34(1), pages 47-70, March.
    6. Kyle Cox & Benjamin Kelcey, 2019. "Optimal Design of Cluster- and Multisite-Randomized Studies Using Fallible Outcome Measures," Evaluation Review, , vol. 43(3-4), pages 189-225, June.
    7. Patrick J. Wolf & Michael McShane, 2013. "Is the Juice Worth the Squeeze? A Benefit/Cost Analysis of the District of Columbia Opportunity Scholarship Program," Education Finance and Policy, MIT Press, vol. 8(1), pages 74-99, January.
    8. Aaron A. Stinnett & John Mullahy, 1998. "Net Health Benefits: A New Framework for the Analysis of Uncertainty in Cost-Effectiveness Analysis," NBER Technical Working Papers 0227, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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