The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
A Mixed-Model Procedure for Analyzing Ordered Categorical Data
Abstract
A mixed-model procedure is developed for predicting the value of an ordered categorical response from knowledge of various predictor variables. This procedure resembles the best linear unbiased procedure of Henderson (1975, Biometrics 31, 423-447) for predicting the value of a quantitative response. The approach is based on a mixed-model version of the threshold model in which it is assumed that the observed category is determined by the value of an underlying unobservable continuous response that follows a mixed linear model. The results are illustrated by an application to the problem of predicting the degree of difficulty that will be experienced by a dairy cow in the birth of her calf.
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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
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Nelder, J. A., & Wedderburn, R. W. M. (1972) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344614 · Cited by 7,194
Regression Models for Ordinal Data
McCullagh, P. (1980) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1980.tb01109.x · Cited by 4,453
Recovery of inter-block information when block sizes are unequal
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An Introduction to Probability Theory.
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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
Self-citationA statistical model for the analysis of ordinal level dependent variables
McKelvey, R. D., & Zavoina, W. (1975) · The Journal of Mathematical Sociology · doi:10.1080/0022250x.1975.9989847 · Cited by 2,599
Cited by
Generalized Linear Models with Random Effects; a Gibbs Sampling Approach
Zeger, S. L., & Karim, M. R. (1991) · Journal of the American Statistical Association · doi:10.1080/01621459.1991.10475006 · Cited by 987
Sire evaluation for ordered categorical data with a threshold model
Gianola, D., & Foulley, J. (1983) · Genetics Selection Evolution · doi:10.1186/1297-9686-15-2-201 · Cited by 593
MIXOR: a computer program for mixed-effects ordinal regression analysis
Hedeker, D., & Gibbons, R. D. (1996) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(96)01720-8 · Cited by 408
A mixed‐effects multinomial logistic regression model
Hedeker, D. (2003) · Statistics in Medicine · doi:10.1002/sim.1522 · Cited by 373
The analysis of binomial data by a generalized linear mixed model
GILMOUR, A. R., ANDERSON, R. D., & RAE, A. L. (1985) · Biometrika · doi:10.1093/biomet/72.3.593 · Cited by 304
Metadata
- Authors
- Harville, D. A., & Mee, R. W.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1984-06
- Volume
- 40
- Issue
- 2
- Pages
- 393
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2052074824
- Cited by
- 447
- References
- 26
- FWCI
- 13.10
- 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.