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

Seung Ho Kang, Chul W. Ahn, Sin Ho Jung

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)109-114
Number of pages6
JournalDrug Information Journal
Volume37
Issue number1
StatePublished - 2003

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Sample Size

Keywords

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

ASJC Scopus subject areas

  • Pharmacology (nursing)
  • Drug guides
  • Public Health, Environmental and Occupational Health
  • Pharmacology (medical)

Cite this

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

In: Drug Information Journal, Vol. 37, No. 1, 2003, p. 109-114.

Research output: Contribution to journalArticle

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