The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ordinal response regression models in ecology
Abstract
Abstract.Although ordinal data are not rare in ecology, ecological studies have, until now, seriously neglected the use of specific ordinal regression models. Here, we present three models – the Proportional Odds, the Continuation Ratio and the Stereotype models – that can be successfully applied to ordinal data. Their differences and respective fields of application are discussed. Finally, as an example of application, PO models are used to predict spatial abundance of plant species in a Geographical Information System. It shows that ordinal models give as good a result as binary logistic models for predicting presence‐absence, but are additionally able to predict abundance satisfactorily.
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McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
A note on a general definition of the coefficient of determination
NAGELKERKE, N. J. D. (1991) · Biometrika · doi:10.1093/biomet/78.3.691 · Cited by 5,927
A leisurely look at the bootstrap, the jackknife, and cross-validation
Efron, B., & Gong, G. (1983) · The American Statistician · doi:10.1080/00031305.1983.10483087 · Cited by 3,229
Cited by
Predictive habitat distribution models in ecology
Guisan, A., & Zimmermann, N. E. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00354-9 · Cited by 7,359
Self-citationGuisan, A., Edwards, T. C., & Hastie, T. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00204-1 · Cited by 2,356
Self-citationOrdinal Regression Models in Psychology: A Tutorial
Bürkner, P.-C., & Vuorre, M. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245918823199 · Cited by 689
Getting Under the Hood: How and for Whom Does Increasing Course Structure Work?
Eddy, S. L., & Hogan, K. A. (2014) · CBE—Life Sciences Education · doi:10.1187/cbe.14-03-0050 · Cited by 553
“…that a change in the explanatory variable (e.g., presence or absence of the classroom intervention) has on the odds that a student will report a higher rather than a lower response (i.e., “strongly agree” vs. “agree”) averaged across all possible levels of response (Antoine and Harrell, 2000).”
BackgroundAGRICULTURAL PONDS SUPPORT AMPHIBIAN POPULATIONS
Knutson, M. G., Richardson, W. B., Reineke, D. M., Gray, B. R., Parmelee, J. R., & Weick, S. E. (2004) · Ecological Applications · doi:10.1890/02-5305 · Cited by 373
Metadata
- Authors
- Guisan, A., & Harrell, F. E.
- Venue
- Journal of Vegetation Science
- Publisher
- Wiley
- Published
- 2000-04-09
- Volume
- 11
- Issue
- 5
- Pages
- 617-626
- ISSN
- 1100-9233 (ISSN-L)
- 1654-1103
- OpenAlex
- W2132885452
- Cited by
- 187
- References
- 3
- FWCI
- 6.82
- Type
- journal article
- Language
- en
- Open access
- closed
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