Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials with random slopes
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DOI: 10.1016/j.csda.2012.11.016
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- Resnicow, K. & Zhang, N. & Vaughan, R.D. & Prisoilla Reddy, S. & James, S. & Murray, D.M., 2010. "When intraclass correlation coefficients go awry: A case study from a school-based smoking prevention study in South Africa," American Journal of Public Health, American Public Health Association, vol. 100(9), pages 1714-1718.
- Spyros Konstantopoulos, 2009. "Incorporating Cost in Power Analysis for Three-Level Cluster-Randomized Designs," Evaluation Review, , vol. 33(4), pages 335-357, August.
- Anindya Roy & Dulal K. Bhaumik & Subhash Aryal & Robert D. Gibbons, 2007. "Sample Size Determination for Hierarchical Longitudinal Designs with Differential Attrition Rates," Biometrics, The International Biometric Society, vol. 63(3), pages 699-707, September.
- Moonseong Heo & Andrew C. Leon, 2008. "Statistical Power and Sample Size Requirements for Three Level Hierarchical Cluster Randomized Trials," Biometrics, The International Biometric Society, vol. 64(4), pages 1256-1262, December.
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Cited by:
- Satoshi Usami, 2017. "Generalized SAMPLE SIZE Determination Formulas for Investigating Contextual Effects by a Three-Level Random Intercept Model," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 133-157, March.
- Anup Amatya & Dulal K. Bhaumik, 2018. "Sample size determination for multilevel hierarchical designs using generalized linear mixed models," Biometrics, The International Biometric Society, vol. 74(2), pages 673-684, June.
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Keywords
Longitudinal cluster RCT; Three level data; Power; Sample size; Random slope; Effect size;All these keywords.
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