[HTML][HTML] The importance of what we cannot observe: Experimental limitations as a source of bias for meta-regression models in predictive microbiology

A Garre, MH Zwietering, HMW den Besten - International Journal of Food …, 2023 - Elsevier
Meta-regression models have gained in popularity during the last years as a way to create
more generic models for Microbial Risk Assessments that also include variability. However …

Meta-analysis for quantitative microbiological risk assessments and benchmarking data

HMW den Besten, MH Zwietering - Trends in Food Science & Technology, 2012 - Elsevier
Meta-analysis studies are increasingly being conducted in the food microbiology area to
quantitatively integrate the findings of many individual studies on specific questions or …

Comparing uncertainty resulting from two-step and global regression procedures applied to microbial growth models

KG Martino, BP Marks - Journal of food protection, 2007 - Elsevier
Two different microbial modeling procedures were compared and validated against
independent data for Listeria monocytogenes growth. The most generally used method is …

[HTML][HTML] Use of simulation tools to illustrate the effect of data management practices for low and negative plate counts on the estimated parameters of microbial …

F Garces-Vega, BP Marks - Journal of food protection, 2014 - Elsevier
In the last 20 years, the use of microbial reduction models has expanded significantly,
including inactivation (linear and nonlinear), survival, and transfer models. However, a major …

Predictive models: foundation, types, and development

F Pérez-Rodríguez, A Valero… - … microbiology in foods, 2013 - Springer
According to their structure, predictive models can be primary, secondary, or tertiary. This
classification mainly depends on the final purpose and type of prediction generated. There …

'MicroHibro': A software tool for predictive microbiology and microbial risk assessment in foods

SC González, A Possas, E Carrasco, A Valero… - International Journal of …, 2019 - Elsevier
A tool able to quantitatively assess the fate of potential pathogenic microorganisms in foods
along the food chain and their impact on public health is highly valuable for food safety …

'MicroHibro': A software tool for predictive microbiology and microbial risk assessment in foods

S Cubero González, A Possas, E Carrasco, A Valero… - 2019 - helvia.uco.es
A tool able to quantitatively assess the fate of potential pathogenic microorganisms in foods
along the food chain and their impact on public health is highly valuable for food safety …

[图书][B] Modeling in Food Microbiology: from predictive microbiology to exposure assessment

JM Membré, V Valdramidis - 2016 - books.google.com
Predictive microbiology primarily deals with the quantitative assessment of microbial
responses at a macroscopic or microscopic level, but also involves the estimation of how …

IPMP 2013—a comprehensive data analysis tool for predictive microbiology

L Huang - International journal of food microbiology, 2014 - Elsevier
Predictive microbiology is an area of applied research in food science that uses
mathematical models to predict the changes in the population of pathogenic or spoilage …

The use of meta-analytical tools in risk assessment for food safety

U Gonzales-Barron, F Butler - Food Microbiology, 2011 - Elsevier
This communication deals with the use of meta-analysis as a valuable tool for the synthesis
of food safety research, and in quantitative risk assessment modelling. A common …