The DOI matches its Crossref record; 176 of the 176 references it cites were found in a registry or an index.
The analysis of ordered categorical data: An overview and a survey of recent developments
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,265
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,176
Koyak, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2290538 · Cited by 7,596
Agresti, A. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/0471249688 · Cited by 6,746
Self-citationJournal of The American Statistical Association
Fienberg, S. E. (2005) · Encyclopedia of Statistical Sciences · doi:10.1002/0471667196.ess1317 · Cited by 6,125
Approximate Inference in Generalized Linear Mixed Models
Breslow, N. E., & Clayton, D. G. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10594284 · Cited by 4,629
Statistical Analysis With Missing Data
Ghosh, S. (1988) · Technometrics · doi:10.1080/00401706.1988.10488446 · Cited by 4,576
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
Cited by
Guidance on the environmental risk assessment of genetically modified plants
(GMO), E. P. O. G. M. O. (2010) · EFSA Journal · doi:10.2903/j.efsa.2010.1879 · Cited by 428
Modelling monotonic effects of ordinal predictors in Bayesian regression models
Bürkner, P., & Charpentier, E. (2020) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12195 · Cited by 160
Mixture-based clustering for the ordered stereotype model
Fernández, D., Arnold, R., & Pledger, S. (2016) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2014.11.004 · Cited by 39
A method for ordinal outcomes: the ordered stereotype model
Fernandez, D., Liu, I., & Costilla, R. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1801 · Cited by 26
“It has the simplicity to interpret the covariate effect on ordinal responses due to the proportional odds assumption (McCullagh, 1980; Liu & Agresti, 2005; Agresti, 2010).”
BackgroundSelf-citationDitlhong, K. E., Ngesa, O. O., & Kombo, A. Y. (2018) · Open Journal of Statistics · doi:10.4236/ojs.2018.85051 · Cited by 7
Metadata
- Authors
- Liu, I., & Agresti, A.
- Venue
- Test
- Published
- 2005-06
- Volume
- 14
- Issue
- 1
- Pages
- 1-73
- ISSN
- 1133-0686 (ISSN-L)
- 1863-8260
- OpenAlex
- W2104761564
- Cited by
- 301
- References
- 176
- FWCI
- 10.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, I., & Agresti, A. (2005). The analysis of ordered categorical data: An overview and a survey of recent developments. Test. https://doi.org/10.1007/bf02595397
Data sources
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.
