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A Simple Method for the Analysis of Clustered Binary Data
Abstract
A simple method for comparing independent groups of clustered binary data with group-specific covariates is proposed. It is based on the concepts of design effect and effective sample size widely used in sample surveys, and assumes no specific models for the intracluster correlations. It can be implemented using any standard computer program for the analysis of independent binary data after a small amount of preprocessing. The method is applied to a variety of problems involving clustered binary data: testing homogeneity of proportions, estimating dose-response models and testing for trend in proportions, and performing the Mantel-Haenszel chi-squared test for independence in a series of 2 x 2 tables and estimating the common odds ratio and its variance. Illustrative applications of the method are also presented.
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Cites
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Some Methods for Strengthening the Common χ 2 Tests
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001616 · Cited by 3,718
Cited by
Asher, M. I., Montefort, S., Björkstén, B., Lai, C. K., Strachan, D. P., Weiland, S. K., & Williams, H. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69283-0 · Cited by 4,223
Baker, R., Camosso-Stefinovic, J., Gillies, C., Shaw, E. J., Cheater, F., Flottorp, S., & Robertson, N. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005470.pub2 · Cited by 1,003
Cognitive behavioural therapy for anxiety disorders in children and adolescents
James, A. C., James, G., Cowdrey, F. A., Soler, A., & Choke, A. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004690.pub4 · Cited by 876
Tailored interventions to address determinants of practice
Baker, R., Camosso-Stefinovic, J., Gillies, C., Shaw, E. J., Cheater, F., Flottorp, S., Robertson, N., Wensing, M., Fiander, M., Eccles, M. P., et al. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005470.pub3 · Cited by 711
Issues in the meta-analysis of cluster randomized trials
Donner, A., & Klar, N. (2002) · Statistics in Medicine · doi:10.1002/sim.1301 · Cited by 734
Metadata
- Authors
- Rao, J. N. K., & Scott, A. J.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1992-06
- Volume
- 48
- Issue
- 2
- Pages
- 577
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W1985888648
- Cited by
- 693
- References
- 2
- FWCI
- 11.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rao, J. N. K., & Scott, A. J. (1992). A Simple Method for the Analysis of Clustered Binary Data. Biometrics. https://doi.org/10.2307/2532311
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
