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Indices for performance evaluation of predictive models in food microbiology


Ross, T, Indices for performance evaluation of predictive models in food microbiology, Journal of Applied Bacteriology, 81, (5) pp. 501-508. ISSN 0021-8847 (1996) [Refereed Article]

DOI: doi:10.1111/j.1365-2672.1996.tb03539.x


Two complementary measures are proposed as simple indices of the performance of models in predictive food microbiology. The indices assess the level of confidence one can have in the predictions of the model and whether the model displays any bias which could lead to 'fail-dangerous' predictions. The use of the indices is demonstrated using data collated from independent and published literature. This analysis supports previous reports that evaluation of predictive models by comparison to published microbial growth rate data may be inappropriate because of limitations in that data. The indices may fail to reveal some forms of systematic deviation between observed and predicted behaviour. It is concluded, however, that the indices provide an objective and readily interpreted summary of model performance and may serve as a first step towards the development of an objective and useful definition of the term 'validated model' in predictive food microbiology.

Item Details

Item Type:Refereed Article
Research Division:Biological Sciences
Research Group:Microbiology
Research Field:Bacteriology
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the environmental sciences
UTAS Author:Ross, T (Professor Tom Ross)
ID Code:7039
Year Published:1996
Web of Science® Times Cited:836
Deposited By:Agricultural Science
Deposited On:1996-08-01
Last Modified:2011-08-16

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