Modelling of discontinuous relationships in biology with censored regression

Schmid, B. and Polasek, W. and Weiner, J. and Krause, A. and Stoll, P.. (1994) Modelling of discontinuous relationships in biology with censored regression. The American naturalist, Vol. 143, Nr. 3. pp. 494-507.

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Official URL: http://edoc.unibas.ch/dok/A5250254

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Discontinuous relationships between variables are common in biological data. Discontinuities can sometimes give the appearance of curvilinearity, which suggests the data should be analyzed with nonlinear models. Here we show that often a more meaningful analysis can be obtained with censored regression techniques. In a censoring model all points below (or above) a certain threshold are observed only by the value of the threshold (e.g., a baseline temperature). We illustrate the method with an example from plant reproductive biology: plant reproductive mass is never negative but becomes positive only after some ''capacity'' to flower reaches a threshold. The vegetative mass at which the threshold is reached and the relationship between reproductive mass and vegetative mass above the threshold are estimated from data. Using censored regression with real and simulated data shows that apparent curvilinearity suggested by models that do not account for censoring can be an artifact.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Ehemalige Einheiten Umweltwissenschaften > Naturschutzbiologie (Baur)
UniBasel Contributors:Stoll, Peter
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:University of Chicago Press
Note:Publication type according to Uni Basel Research Database: Journal article
Last Modified:29 Mar 2020 10:55
Deposited On:22 Mar 2012 14:04

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