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Estimating Intraclass Correlation for Binary Data
Abstract
Summary.This paper reviews many different estimators of intraclass correlation that have been proposed for binary data and compares them in an extensive simulation study. Some of the estimators are very specific, while others result from general methods such as pseudo‐likelihood and extended quasi‐likelihood estimation. The simulation study identifies several useful estimators, one of which does not seem to have been considered previously for binary data. Estimators based on extended quasi‐likelihood are found to have a substantial bias in some circumstances.
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Cited by
Larsen, K. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi017 · Cited by 956
Methods for sample size determination in cluster randomized trials
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Review of recent methodological developments in group-randomized trials: part 2—analysis
Turner, E. L., Prague, M., Gallis, J. A., Li, F., & Murray, D. M. (2017) · American Journal of Public Health · doi:10.2105/ajph.2017.303707 · Cited by 195
Park, J., Lee, D. S., Shablack, H., Verduyn, P., Deldin, P., Ybarra, O., Jonides, J., & Kross, E. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.01.048 · Cited by 104
Metadata
- Authors
- Ridout, M. S., Demétrio, C. G. B., & Firth, D.
- Venue
- Biometrics
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-03
- Volume
- 55
- Issue
- 1
- Pages
- 137-148
- ISSN
- 0006-341X (ISSN-L)
- 1541-0420
- OpenAlex
- W2103912194
- Cited by
- 262
- References
- 40
- FWCI
- 4.08
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
