The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
A Unified Approach to Mixed Linear Models
Abstract
The mixed model equations as presented by C. R. Henderson offers the base for a methodology that provides flexibility of fitting models with various fixed and random elements with the possible assumption of correlation among random effects. The advantage of teaching analysis of variance applications from this methodology is presented. Particular emphasis is placed upon the relationship between choice of estimable function and inference space.
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Cited by
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
Fan, X., Alekseyenko, A. V., Wu, J., Peters, B. A., Jacobs, E. J., Gapstur, S. M., Purdue, M. P., Abnet, C. C., Stolzenberg-Solomon, R., Miller, G., et al. (2018) · Gut · doi:10.1136/gutjnl-2016-312580 · Cited by 702
Estrogen use, APOE, and cognitive decline: Evidence of gene–environment interaction
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Oberg, A. L., & Mahoney, D. W. (2007) · Methods in Molecular Biology™ · doi:10.1007/978-1-59745-530-5_11 · Cited by 207
Space-time logic of liver gene expression at sub-lobular scale
Droin, C., Kholtei, J. E., Bahar Halpern, K., Hurni, C., Rozenberg, M., Muvkadi, S., Itzkovitz, S., & Naef, F. (2021) · Nature Metabolism · doi:10.1038/s42255-020-00323-1 · Cited by 148
Metadata
- Authors
- McLean, R. A., Sanders, W. L., & Stroup, W. W.
- Venue
- The American Statistician
- Publisher
- Informa UK Limited
- Published
- 1991-02
- Volume
- 45
- Issue
- 1
- Pages
- 54-64
- ISSN
- 0003-1305 (ISSN-L)
- 1537-2731
- OpenAlex
- W2064867029
- Cited by
- 601
- References
- 30
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.