The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Unbalanced Repeated-Measures Models with Structured Covariance Matrices
Abstract
The question of how to analyze unbalanced or incomplete repeated-measures data is a common problem facing analysts. We address this problem through maximum likelihood analysis using a general linear model for expected responses and arbitrary structural models for the within-subject covariances. Models that can be fit include standard univariate and multivariate models with incomplete data, random-effects models, and models with time-series and factor-analytic error structures. We describe Newton-Raphson and Fisher scoring algorithms for computing maximum likelihood estimates, and generalized EM algorithms for computing restricted and unrestricted maximum likelihood estimates. An example fitting several models to a set of growth data is included.
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Cited by
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638
Antitumor Activity of Thalidomide in Refractory Multiple Myeloma
Singhal, S., Mehta, J., Desikan, R., Ayers, D., Roberson, P., Eddlemon, P., Munshi, N., Anaissie, E., Wilson, C., Dhodapkar, M., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199911183412102 · Cited by 2,575
Gueorguieva, R., & Krystal, J. H. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.3.310 · Cited by 1,529
Modeling the Drop-Out Mechanism in Repeated-Measures Studies
Little, R. J. A. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476615 · Cited by 1,522
Beyond SEM: General latent variable modeling
Muthén, B. O. (2002) · Behaviormetrika · doi:10.2333/bhmk.29.81 · Cited by 1,074
Metadata
- Authors
- Jennrich, R. I., & Schluchter, M. D.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1986-12
- Volume
- 42
- Issue
- 4
- Pages
- 805
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2064279221
- Cited by
- 1,325
- References
- 2
- FWCI
- 10.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jennrich, R. I., & Schluchter, M. D. (1986). Unbalanced Repeated-Measures Models with Structured Covariance Matrices. Biometrics. https://doi.org/10.2307/2530695
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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.
