RodrÃguez-Saavedra, M.; Pérez-Revelo, K.; Valero, A.; Moreno-Arribas, M.V.; González de Llano, D.
A Binary Logistic Regression Model as a Tool to Predict Craft Beer Susceptibility to Microbial Spoilage. Foods 2021, 10, 1926.
https://doi.org/10.3390/foods10081926
AMA Style
RodrÃguez-Saavedra M, Pérez-Revelo K, Valero A, Moreno-Arribas MV, González de Llano D.
A Binary Logistic Regression Model as a Tool to Predict Craft Beer Susceptibility to Microbial Spoilage. Foods. 2021; 10(8):1926.
https://doi.org/10.3390/foods10081926
Chicago/Turabian Style
RodrÃguez-Saavedra, Magaly, Karla Pérez-Revelo, Antonio Valero, M. Victoria Moreno-Arribas, and Dolores González de Llano.
2021. "A Binary Logistic Regression Model as a Tool to Predict Craft Beer Susceptibility to Microbial Spoilage" Foods 10, no. 8: 1926.
https://doi.org/10.3390/foods10081926
APA Style
RodrÃguez-Saavedra, M., Pérez-Revelo, K., Valero, A., Moreno-Arribas, M. V., & González de Llano, D.
(2021). A Binary Logistic Regression Model as a Tool to Predict Craft Beer Susceptibility to Microbial Spoilage. Foods, 10(8), 1926.
https://doi.org/10.3390/foods10081926