Skip to main content
SpringerLink
Log in

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

  • Statistics
  • Published:
Drug information journal : DIJ / Drug Information Association Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Manatunga AK, Hudgens MG, Chen S. Sample size estimation in cluster randomized studies with varying cluster size. Biometrical J. 2001; 43(1): 75–86.

    Article  Google Scholar 

  2. Donner A, Klar N. Design and Analysis of Cluster Randomization Trials in Health Research. Oxford, United Kingdom: Oxford University Press; 2000.

    Google Scholar 

  3. Donner A, Klar N. Confidence interval construction for effect measures arising from cluster randomization trials. J Clin Epidemiol. 1993;46: 123–131.

    Article  CAS  Google Scholar 

  4. Donner A. A review of inference procedures for the intraclass correlation coefficient in the oneway random effects model. Int Stat Rev. 1986; 54:67–82.

    Article  Google Scholar 

  5. Hanley JA, Negassa A, Edwards MD. GEE analysis of negatively correlated binary responses: A caution. Stat Med. 2000;19:715–722.

    Article  CAS  Google Scholar 

  6. Lunn AD, Davies SJ. A note on generating correlated binary variables. Biometrika. 1998:85:487–490.

    Article  Google Scholar 

  7. Banting DW, Ellen RP, Fillery ED. A longitudinal study of root caries: baseline and incidence data. J Dental Res. 1985;64:1141–1144.

    Article  Google Scholar 

  8. Rosner B. Fundamentals of Biostatistics, 5th edition. Pacific Grove, CA: Duxbury.

  9. Jung S, Ahn C. Estimation of response probability in correlated binary data: A new approach. Drug Inf J. 2000;34:599–604.

    Article  Google Scholar 

  10. Jung SH, Kang SH, Ahn C. Sample size calculations for clustered binary data. Stat Med. 2001; 20:1971–1982.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Statistics, Ewha Womans University, 11-1, DaeHyun-dong, SeoDaeMun-gu, Seoul, Korea, 120-750

    Seung-Ho Kong PhD.

  2. Clinical Epidemiology, University of Texas Medical School, Houston, Texas, United States

    Chul W. Ahn PhD.

  3. Division of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, United States

    Sin-Ho Jung PhD.

Authors
  1. Seung-Ho Kong PhD.
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chul W. Ahn PhD.
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sin-Ho Jung PhD.
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Seung-Ho Kong PhD..

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kong, SH., Ahn, C.W. & Jung, SH. Sample Size Calculation for Dichotomous Outcomes in Cluster Randomization Trials with Varying Cluster Size. Ther Innov Regul Sci 37, 109–114 (2003). https://doi.org/10.1177/009286150303700113

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1177/009286150303700113

Key Words

Search

Navigation