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Volumn 13, Issue 1, 2013, Pages 114-135

A menu-driven facility for sample-size calculations in cluster randomized controlled trials

Author keywords

Cluster randomized controlled trials; Clustersampsi; Maximum achievable power; Minimum detectable difference; Sample size; St0286

Indexed keywords


EID: 84875684909     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x1301300109     Document Type: Article
Times cited : (68)

References (16)
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    • Reprinted in Stata Technical Bulletin Reprints, College Station, TX: Stata Press
    • Garrett, J. M. 2001. sxd4: Sample size estimation for cluster designed samples. Stata Technical Bulletin 60: 41-45. Reprinted in Stata Technical Bulletin Reprints, vol. 10, pp. 387-393. College Station, TX: Stata Press.
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    • Garrett, J.M.1
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    • (2005) BMC Medical Research Methodology , vol.5 , pp. 25
    • Guittet, L.1    Giraudeau, B.2    Ravaud, P.3
  • 7
    • 0032890970 scopus 로고    scopus 로고
    • Simple sample size calculation for cluster-randomized trials
    • Hayes, R. J., and S. Bennett. 1999. Simple sample size calculation for cluster-randomized trials. International Journal of Epidemiology 28: 319-326.
    • (1999) International Journal of Epidemiology , vol.28 , pp. 319-326
    • Hayes, R.J.1    Bennett, S.2
  • 8
    • 79959629220 scopus 로고    scopus 로고
    • Sample size calculations for cluster randomised controlled trials with a fixed number of clusters
    • Hemming, K., A. J. Girling, A. J. Sitch, J. Marsh, and R. J. Lilford. 2011. Sample size calculations for cluster randomised controlled trials with a fixed number of clusters. BMC Medical Research Methodology 11: 102.
    • (2011) BMC Medical Research Methodology , vol.11 , pp. 102
    • Hemming, K.1    Girling, A.J.2    Sitch, A.J.3    Marsh, J.4    Lilford, R.J.5
  • 9
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    • Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements
    • Herńandez, A. V., E. W. Steyerberg, and J. D. Habbema. 2004. Covariate adjustment in randomized controlled trials with dichotomous outcomes increases statistical power and reduces sample size requirements. Journal of Clinical Epidemiology 57: 454-460.
    • (2004) Journal of Clinical Epidemiology , vol.57 , pp. 454-460
    • Herńandez, A.V.1    Steyerberg, E.W.2    Habbema, J.D.3
  • 15
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    • Some surprising results about covariate adjustment in logistic regression models
    • Robinson, L. D., and N. P. Jewell. 1991. Some surprising results about covariate adjustment in logistic regression models. International Statistical Review 58: 227-240.
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    • Robinson, L.D.1    Jewell, N.P.2
  • 16
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    • A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome
    • Royston, P., and A. Babiker. 2002. A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome. Stata Journal 2: 151-163.
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    • Royston, P.1    Babiker, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.