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Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size

Publication ,  Journal Article
Kang, SH; Ahn, CW; Jung, SH
Published in: Drug Information Journal
November 3, 2003

It is common to assume a constant cluster size in the estimation of sample size for cluster randomized trials. Manalunga et al. (1) derived sample size estimation for continuous response variables in cases of varying cluster size. This paper discusses a parallel study for binary response variables. We compare the maximum cluster size method, the average cluster size method, and the proposed method.

Duke Scholars

Published In

Drug Information Journal

ISSN

0092-8615

Publication Date

November 3, 2003

Volume

37

Issue

1

Start / End Page

109 / 114

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3214 Pharmacology and pharmaceutical sciences
  • 1117 Public Health and Health Services
  • 0104 Statistics
 

Citation

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ICMJE
MLA
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Kang, S. H., Ahn, C. W., & Jung, S. H. (2003). Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size. Drug Information Journal, 37(1), 109–114.
Kang, S. H., C. W. Ahn, and S. H. Jung. “Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size.” Drug Information Journal 37, no. 1 (November 3, 2003): 109–14.
Kang SH, Ahn CW, Jung SH. Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size. Drug Information Journal. 2003 Nov 3;37(1):109–14.
Kang, S. H., et al. “Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size.” Drug Information Journal, vol. 37, no. 1, Nov. 2003, pp. 109–14.
Kang SH, Ahn CW, Jung SH. Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size. Drug Information Journal. 2003 Nov 3;37(1):109–114.

Published In

Drug Information Journal

ISSN

0092-8615

Publication Date

November 3, 2003

Volume

37

Issue

1

Start / End Page

109 / 114

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3214 Pharmacology and pharmaceutical sciences
  • 1117 Public Health and Health Services
  • 0104 Statistics