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Evaluation of the Use of Zero-Augmented Regression Techniques to Model Incidence of Campylobacter Infections in FoodNet

CITE Title : Evaluation of the Use of Zero-Augmented Regression Techniques to Model Incidence of Campylobacter Infections in FoodNet Personal Author(s) : Tremblay, M.;Crim, S.M.;Cole, D.J.;Hoekstra, R.M.;Henao, O.L.;Döpfer, D.; Published Date : Jul 18 2017 Source : Foodborne Pathog Dis. 14(10):587-592. URL : https://stacks.cdc.gov/view/cdc/48963 Tremblay, M. et al. (2017). Evaluation of the Use of Zero-Augmented Regression Techniques to Model Incidence of Campylobacter Infections in FoodNet. 14(10). Tremblay, M. et al. "Evaluation of the Use of Zero-Augmented Regression Techniques to Model Incidence of Campylobacter Infections in FoodNet" 14, no. 10 (2017) Tremblay, M. et al. "Evaluation of the Use of Zero-Augmented Regression Techniques to Model Incidence of Campylobacter Infections in FoodNet" vol. 14, no. 10, 2017 Export RIS Citation Information.

:

Tremblay, M. ;

Crim, S.M.

Jul 18 2017 | Foodborne Pathog Dis. 14(10):587-592.

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The Foodborne Diseases Active Surveillance Network (FoodNet) is currently using a negative binomial (NB) regression model to estimate temporal changes...

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