ANTONIO VALERO DIAZ2026-01-292026-01-29202110.3390/foods100819262-s2.0-85113559895https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/33847Food ScienceHealth (social science)Health Professions (miscellaneous)MicrobiologyPlant ScienceA binary logistic regression model as a tool to predict craft beer susceptibility to microbial spoilageresearch article