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

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

doi:10.1177/009286150303700113

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 journal › Article › peer-review

1 Scopus citations

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 language	English (US)
Pages (from-to)	109-114
Number of pages	6
Journal	Therapeutic Innovation & Regulatory Science
Volume	37
Issue number	1
DOIs	https://doi.org/10.1177/009286150303700113
State	Published - Jan 2003

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)

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Cite this

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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.",

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

Abstract

Keywords

ASJC Scopus subject areas

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