Modeling Microbial Responses in Foods is the first state-of-the-art review of this dynamic field in a decade. The comprehensive coverage includes basic approaches, such as improvements in the development of primary and secondary models, statistical fitting strategies, and novel data collection methods. The authors explore important developing areas, including specific applications, challenges in applying models to foods, variability and uncertainly, and new modeling strategies. They provide detailed descriptions of non-linear regression fitting, methods, and approaches relevant to 'real world' situations, and extensive applications of predictive models.