The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
On the use of a working correlation matrix in using generalised linear models for repeated measures
Abstract
In a seminal paper Liang & Zeger (1986) extended the use of generalised linear models to repeated measures data. They based the analysis on specifications for the means and variances of the observations, as usual for generalised linear models, but showed how specifications for the correlations between measurements made on the same unit could be avoided by using a ‘working’ correlation matrix. In some cases the parameters involved in this matrix are subject to an uncertainty of definition which can lead to a breakdown of the asymptotic properties of the estimators.
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Citations
Cites
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550
Maximum Likelihood Estimation of Misspecified Models
White, H. (1983) · Econometrica · doi:10.2307/1912004 · Cited by 3,674
McCullagh, P. (1983) · The Annals of Statistics · doi:10.1214/aos/1176346056 · Cited by 770
Prentice, R. L., & Zhao, L. P. (1991) · Biometrics · doi:10.2307/2532642 · Cited by 542
Cited by
Generalized Estimating Equations in Longitudinal Data Analysis: A Review and Recent Developments
Wang, M. (2014) · Advances in Statistics · doi:10.1155/2014/303728 · Cited by 313
Chandler, R. E., & Wheater, H. S. (2002) · Water Resources Research · doi:10.1029/2001wr000906 · Cited by 279
Marginal analysis of incomplete longitudinal binary data: a cautionary note on LOCF imputation
Cook, R. J., Zeng, L., & Yi, G. Y. (2004) · Biometrics · doi:10.1111/j.0006-341x.2004.00234.x · Cited by 88
Sample size and power calculations with correlated binary data
Pan, W. (2001) · Controlled Clinical Trials · doi:10.1016/s0197-2456(01)00131-3 · Cited by 85
Metadata
- Authors
- CROWDER, M.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1995
- Volume
- 82
- Issue
- 2
- Pages
- 407-410
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2130691021
- Cited by
- 287
- References
- 4
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- CROWDER, M. (1995). On the use of a working correlation matrix in using generalised linear models for repeated measures. Biometrika. https://doi.org/10.1093/biomet/82.2.407
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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.