The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Ordinal Logistic Regression
Overview
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Citations
Cites
Proportional hazards tests and diagnostics based on weighted residuals
GRAMBSCH, P. M., & THERNEAU, T. M. (1994) · Biometrika · doi:10.1093/biomet/81.3.515 · Cited by 5,885
Partial residuals for the proportional hazards regression model
SCHOENFELD, D. (1982) · Biometrika · doi:10.1093/biomet/69.1.239 · Cited by 3,111
Assessing proportionality in the proportional odds model for ordinal logistic regression.
Brant, R. (1990) · Biometrics · doi:10.2307/2532457 · Cited by 1,864
Sample size calculations for ordered categorical data
Whitehead, J. (1993) · Statistics in Medicine · doi:10.1002/sim.4780122404 · Cited by 297
Measurement in clinical trials: A neglected issue for statisticians?
Senn, S., & Julious, S. (2009) · Statistics in Medicine · doi:10.1002/sim.3603 · Cited by 136
Cited by
Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes
Riley, R. D., Snell, K. I. E., Ensor, J., Burke, D. L., Harrell, F. E., Moons, K. G. M., & Collins, G. S. (2019) · Statistics in Medicine · doi:10.1002/sim.7993 · Cited by 351
Self-citationdel Pozo Cruz, B., Ahmadi, M. N., Lee, I.-M., & Stamatakis, E. (2022) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2022.4000 · Cited by 265
Campbell, D. J. T., Tonelli, M., Hemmelgarn, B. R., Faris, P., Zhang, J., Au, F., Tsuyuki, R. T., Mitchell, C., Pannu, R., Campbell, T., et al. (2023) · Circulation · doi:10.1161/circulationaha.123.064189 · Cited by 12
Ultrasonographic diagnosis of clinical and subclinical bovine respiratory disease in Holstein calves
Mahmoud, A. E., Fathy, A., Ahmed, E. A., Ali, A. O., Abdelaal, A. M., & El-Maghraby, M. M. (2022) · Veterinary World · doi:10.14202/vetworld.2022.1932-1942 · Cited by 6
Metadata
- Authors
- Harrell, F. E.
- Venue
- Springer Series in Statistics
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 311-325
- ISSN
- 0172-7397 (ISSN-L)
- 2197-568X
- OpenAlex
- W4240616498
- Cited by
- 255
- References
- 5
- FWCI
- 10.66
- Type
- book chapter
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ordinal Logistic Regression. https://app.cochat.ai/papers/10.1007/978-3-319-19425-7_13
- The paper
- Harrell, F. E. (2015). Ordinal Logistic Regression. Springer Series in Statistics. https://doi.org/10.1007/978-3-319-19425-7_13
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.
