The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Covariance structure selection in general mixed models
Abstract
This article describes a unified approach to variance modeling and inference in the context of a general form of the normal-theory linear mixed model. The primary variance modeling objects are parameterized covari-ance structures, examples being diagonal, compound-symmetry, unstructured, timeseries, and spatial. These structures can enter in two different places in the general mixed model, and the combination of one or both of these places with the variety of structures provides a rich class of variance models. The approach is likelihood-based, and involves the use of both maximum likelihood and restricted maximum likelihood. Two examples provide illustration.
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Citations
Cites
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Bozdogan, H. (1987) · Psychometrika · doi:10.1007/bf02294361 · Cited by 4,468
Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
Harville, D. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10480998 · Cited by 2,667
Searle, S. R., Casella, G., & McCulloch, C. E. (1992) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316856 · Cited by 1,926
Cited by
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647
Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Singer, J. D. (1998) · Journal of Educational and Behavioral Statistics · doi:10.2307/1165280 · Cited by 1,092
Bardoxolone Methyl and Kidney Function in CKD with Type 2 Diabetes
Pergola, P. E., Raskin, P., Toto, R. D., Meyer, C. J., Huff, J. W., Grossman, E. B., Krauth, M., Ruiz, S., Audhya, P., Christ-Schmidt, H., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1105351 · Cited by 890
Advances in Analysis of Longitudinal Data
Gibbons, R. D., Hedeker, D., & DuToit, S. (2010) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.032408.153550 · Cited by 452
Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations
Shek, D. T. L., & Ma, C. M. S. (2011) · The Scientific World JOURNAL · doi:10.1100/tsw.2011.2 · Cited by 425
Metadata
- Authors
- Wolfinger, R.
- Venue
- Communications in Statistics - Simulation and Computation
- Publisher
- Informa UK Limited
- Published
- 1993-01
- Volume
- 22
- Issue
- 4
- Pages
- 1079-1106
- ISSN
- 0361-0918 (ISSN-L)
- 1532-4141
- OpenAlex
- W1994552776
- Cited by
- 748
- References
- 4
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wolfinger, R. (1993). Covariance structure selection in general mixed models. Communications in Statistics - Simulation and Computation. https://doi.org/10.1080/03610919308813143
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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.
