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

Seung ho Kong, Chul W. Ahn, Sin HO Jung

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

It is common to assume a constant cluster size in the estimation of sample size for cluster randomized trials. Manatunga 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.

Original languageEnglish (US)
Pages (from-to)109-114
Number of pages6
JournalTherapeutic Innovation & Regulatory Science
Volume37
Issue number1
DOIs
StatePublished - 2003

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Keywords

  • Binary
  • Cluster randomization
  • Sample size
  • Varying cluster size

ASJC Scopus subject areas

  • Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
  • Public Health, Environmental and Occupational Health
  • Pharmacology (medical)

Cite this

Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size. / Kong, Seung ho; Ahn, Chul W.; Jung, Sin HO.

In: Therapeutic Innovation & Regulatory Science, Vol. 37, No. 1, 2003, p. 109-114.

Research output: Contribution to journalArticle

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