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

International Journal of Food Microbiology

Volumn 73, Issue 2-3, 2002, Pages 119-125

  Ratkowsky, D A ^a  

^a UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Binomial error; Escherichia coli; Growth no growth; Listeria monocytogenes; Nonlinear logistic regression; Predictive modelling

Indexed keywords

CARBOXYLIC ACID; LACTIC ACID; WATER;

ARTICLE; CONTROLLED STUDY; FOOD CONTROL; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL ANALYSIS; MICROBIAL GROWTH; NONHUMAN; NONLINEAR SYSTEM; PH; PREDICTION; THEORETICAL MODEL;

ESCHERICHIA COLI; FOOD MICROBIOLOGY; HYDROGEN-ION CONCENTRATION; LISTERIA MONOCYTOGENES; LOGISTIC MODELS; MODELS, BIOLOGICAL; REGRESSION ANALYSIS; TEMPERATURE; WATER;

ESCHERICHIA COLI; LISTERIA; LISTERIA MONOCYTOGENES;

EID: 0037061031     PISSN: 01681605     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1605(01)00643-2     Document Type: Article

References (10)

1. A note on a general definition of the coefficient of determination
2. Modelling the growth limits (growth/no growth interface) of Escherichia coli as a function of temperature, pH, lactic acid concentration, and water activity
3. Modelling the bacterial growth/no growth interface
4. Applicability of a model for non-pathogenic Escherichia coli for predicting the growth of pathogenic Escherichia coli
5. Modelling the combined temperature and salt (NaCl) limits for growth of a pathogenic Escherichia coli strain using nonlinear logistic regression
6. Growth limits of Listeria monocytogenes as a function of temperature, pH, NaCl and lactic acid