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Some examples of, and some problems with, the use of nonlinear logistic regression in predictive food microbiology

Citation

Ratkowsky, DA, Some examples of, and some problems with, the use of nonlinear logistic regression in predictive food microbiology, International Journal of Food Microbiology, 73, (2-3) pp. 119-125. ISSN 0168-1605 (2002) [Refereed Article]

DOI: doi:10.1016/S0168-1605(01)00643-2

Abstract

A new technique, nonlinear logistic regression, is described for modelling binomially distributed data, i.e., presence/absence data where growth is either observed or not observed, for applications in predictive food microbiology. Some examples of the successful use of this technique are presented, where the controlling factors are temperature, water activity, pH and the concentration of lactic acid, a weakly dissociating organic acid. Generally speaking, good-fitting models were obtained, as evidenced using various performance measures and goodness-of-fit statistics. As may be expected with a new statistical technique, some problems were encountered with the implementation of the modelling approach and these are discussed. © 2002 Elsevier Science B.V. All rights reserved.

Item Details

Item Type:Refereed Article
Research Division:Biological Sciences
Research Group:Microbiology
Research Field:Microbiology not elsewhere classified
Objective Division:Health
Objective Group:Public Health (excl. Specific Population Health)
Objective Field:Food Safety
Author:Ratkowsky, DA (Dr David Ratkowsky)
ID Code:23643
Year Published:2002
Web of Science® Times Cited:23
Deposited By:Agricultural Science
Deposited On:2002-08-01
Last Modified:2011-10-10
Downloads:0

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