Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size
Publication
, Journal Article
Kong, SH; Ahn, CW; Jung, SH
Published in: Therapeutic Innovation & Regulatory Science
January 1, 2003
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. © 2003, Drug Information Association. All rights reserved.
Duke Scholars
Published In
Therapeutic Innovation & Regulatory Science
DOI
ISSN
2168-4790
Publication Date
January 1, 2003
Volume
37
Issue
1
Start / End Page
109 / 114
Citation
APA
Chicago
ICMJE
MLA
NLM
Kong, S. H., Ahn, C. W., & Jung, S. H. (2003). Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size. Therapeutic Innovation & Regulatory Science, 37(1), 109–114. https://doi.org/10.1177/009286150303700113
Kong, S. H., C. W. Ahn, and S. H. Jung. “Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size.” Therapeutic Innovation & Regulatory Science 37, no. 1 (January 1, 2003): 109–14. https://doi.org/10.1177/009286150303700113.
Kong SH, Ahn CW, Jung SH. Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size. Therapeutic Innovation & Regulatory Science. 2003 Jan 1;37(1):109–14.
Kong, S. H., et al. “Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size.” Therapeutic Innovation & Regulatory Science, vol. 37, no. 1, Jan. 2003, pp. 109–14. Scopus, doi:10.1177/009286150303700113.
Kong SH, Ahn CW, Jung SH. Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size. Therapeutic Innovation & Regulatory Science. 2003 Jan 1;37(1):109–114.
Published In
Therapeutic Innovation & Regulatory Science
DOI
ISSN
2168-4790
Publication Date
January 1, 2003
Volume
37
Issue
1
Start / End Page
109 / 114