Results of the univariable logistic regression models, using a random intercept to control for state-level clustering for erythromycin-resistant Campylobacter in retail meats in the United States, 2004–2019.</p
Univariable and multivariable (adjusted for covariates and random herd effect) logistic regression r...
BackgroundAntimicrobial-resistant bacteria are a growing public health threat. In 2017 the U.S. Food...
The model produced evaluates quantitatively the effect of interventions on the risk of campylobacter...
Results of the univariable logistic regression models, using a random intercept to control for state...
Results of the univariable logistic regression models, using a random intercept to control for state...
Final multivariable mixed-effect logistic regression model using a random intercept to control for s...
Final multivariable mixed-effect logistic regression model using a random intercept to control for s...
Results of the univariable logistic regression models, using a random intercept to control for state...
Results of the univariable mixed-effect logistic regression model, using a random intercept to contr...
Final multivariable mixed-effect logistic regression model using a random intercept to control for s...
Final multivariable mixed-effect logistic regression model using a random intercept to control for s...
<p><sup><b>#</b></sup>Adjusted for: Is male, Age, Number of people in house, County (dummy variables...
Abstract A Bayesian statistical temporal‐prevalence‐concentration model (TPCM) was built to assess ...
<p><sup><b>#</b></sup>Adjusted for: Is male, Age, Number of people in house, County (dummy variables...
To estimate the true prevalence of Campylobacter and the diagnostic sensitivity of routine detection...
Univariable and multivariable (adjusted for covariates and random herd effect) logistic regression r...
BackgroundAntimicrobial-resistant bacteria are a growing public health threat. In 2017 the U.S. Food...
The model produced evaluates quantitatively the effect of interventions on the risk of campylobacter...
Results of the univariable logistic regression models, using a random intercept to control for state...
Results of the univariable logistic regression models, using a random intercept to control for state...
Final multivariable mixed-effect logistic regression model using a random intercept to control for s...
Final multivariable mixed-effect logistic regression model using a random intercept to control for s...
Results of the univariable logistic regression models, using a random intercept to control for state...
Results of the univariable mixed-effect logistic regression model, using a random intercept to contr...
Final multivariable mixed-effect logistic regression model using a random intercept to control for s...
Final multivariable mixed-effect logistic regression model using a random intercept to control for s...
<p><sup><b>#</b></sup>Adjusted for: Is male, Age, Number of people in house, County (dummy variables...
Abstract A Bayesian statistical temporal‐prevalence‐concentration model (TPCM) was built to assess ...
<p><sup><b>#</b></sup>Adjusted for: Is male, Age, Number of people in house, County (dummy variables...
To estimate the true prevalence of Campylobacter and the diagnostic sensitivity of routine detection...
Univariable and multivariable (adjusted for covariates and random herd effect) logistic regression r...
BackgroundAntimicrobial-resistant bacteria are a growing public health threat. In 2017 the U.S. Food...
The model produced evaluates quantitatively the effect of interventions on the risk of campylobacter...