The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Validating and comparing predictive models
Open accessAbstract
The bias and accuracy factors introduced by Ross [Ross, T., 1996. Indices for performance evaluation of predictive models in food microbiology. J. Appl Bacteriol. 81, 501-508] for the evaluation of the performance of models in 'predictive food microbiology' are refined by basing the calculation of those measures on the mean square differences between predictions and observations. The use of the indices is extended by presenting formulae and methods which enable evaluation of the difference between alternative models for growth of an organism of interest over a domain of environmental factors. This is done by calculating the integral mean of the square differences between the models under investigation over the domain of the environmental variables common to those models, or a sub-region of it. The use of the techniques is exemplified by evaluating the difference between four published models for the growth rate of psychrotrophic pseudomonads.
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Cites
Savitzky-Golay Smoothing Filters
Press, W. H., & Teukolsky, S. A. (1990) · Computers in Physics · doi:10.1063/1.4822961 · Cited by 11,670
Food Microbiology: Fundamentals And Frontiers
(2019) · doi:10.1128/9781555819972 · Cited by 3,579
A dynamic approach to predicting bacterial growth in food
Baranyi, J., & Roberts, T. A. (1994) · International Journal of Food Microbiology · doi:10.1016/0168-1605(94)90157-0 · Cited by 2,607
Self-citationIndices for performance evaluation of predictive models in food microbiology
Ross, T. (1996) · Journal of Applied Bacteriology · doi:10.1111/j.1365-2672.1996.tb03539.x · Cited by 1,004
Self-citationMathematics of predictive food microbiology
Baranyi, J., & Roberts, T. A. (1995) · International Journal of Food Microbiology · doi:10.1016/0168-1605(94)00121-l · Cited by 491
Self-citationIndices for performance evaluation of predictive models in food microbiology
Ross, T. (1996) · Journal of Applied Microbiology · doi:10.1111/j.1365-2672.1996.tb01946.x · Cited by 468
Self-citationQuantitative risk assessment for Escherichia coli O157:H7 in ground beef hamburgers
Cassin, M. H., Lammerding, A. M., Todd, E. C. D., et al. (1998) · International Journal of Food Microbiology · doi:10.1016/s0168-1605(98)00028-2 · Cited by 449
Ross, T., & McMeekin, T. A. (1994) · International Journal of Food Microbiology · doi:10.1016/0168-1605(94)90155-4 · Cited by 229
Self-citationDavey, K. R. (1989) · Journal of Applied Bacteriology · doi:10.1111/j.1365-2672.1989.tb02519.x · Cited by 205
Quantitative Microbiology: A Basis for Food Safety
McMeekin, T., Brown, J., Krist, K., Miles, D., Neumeyer, K., Nichols, D. S., Olley, J. N., Presser, K., Ratkowsky, D. A., Ross, T., et al. (1997) · Emerging infectious diseases · doi:10.3201/eid0304.970419 · Cited by 137
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Cited by
Predictive modelling of the growth and survival of Listeria in fishery products
Ross, T. (2000) · International Journal of Food Microbiology · doi:10.1016/s0168-1605(00)00340-8 · Cited by 411
Self-citationStatistical evaluation of mathematical models for microbial growth
López, S., Prieto, M., Dijkstra, J., Dhanoa, M. S., & France, J. (2004) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2004.03.026 · Cited by 256
Van Bree, I., Baetens, J. M., Samapundo, S., Devlieghere, F., Laleman, R., Vandekinderen, I., Noseda, B., Xhaferi, R., De Baets, B., & De Meulenaer, B. (2012) · Food Chemistry · doi:10.1016/j.foodchem.2012.02.096 · Cited by 109
Valdramidis, V. P., Geeraerd, A. H., & Van Impe, J. F. (2007) · Journal of Applied Microbiology · doi:10.1111/j.1365-2672.2007.03426.x · Cited by 54
Garre, A., Huertas, J. P., González-Tejedor, G. A., Fernández, P. S., Egea, J. A., Palop, A., & Esnoz, A. (2018) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2017.11.023 · Cited by 31
Metadata
- Authors
- Baranyi, J., Pin, C., & Ross, T.
- Venue
- International Journal of Food Microbiology
- Publisher
- Elsevier BV
- Published
- 1999-06
- Volume
- 48
- Issue
- 3
- Pages
- 159-166
- ISSN
- 0168-1605 (ISSN-L)
- OpenAlex
- W1976029918
- Cited by
- 372
- References
- 10
- FWCI
- 12.04
- Type
- journal article
- Language
- en
- Open access
- green
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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.
