[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 …

[PDF][PDF] 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… - International Journal of …, 2023 - edepot.wur.nl
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 …

[PDF][PDF] 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… - International Journal of …, 2023 - researchgate.net
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 …

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… - International Journal of …, 2023 - research.wur.nl
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 …

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… - … journal of food …, 2023 - pubmed.ncbi.nlm.nih.gov
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 …

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 - 2023 - cabidigitallibrary.org
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 …

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… - International Journal of …, 2022 - europepmc.org
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 …

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

G Alberto, MW den Besten Heidy - International Journal of Food …, 2023 - agris.fao.org
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 …

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… - International Journal of …, 2023 - library.wur.nl
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 …