Christine Müller‐Graf
Biographic Data
| ID | 7032685 |
|---|---|
| NAME | Christine Müller‐Graf |
| GIVEN NAMES | Christine |
| FAMILY NAME | Müller‐Graf |
| SIGNATURE | GRAF C M |
| AFFILIATIONS | Federal Institute for Risk Assessment |
| ORCID | 0000-0002-0122-7528 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Analysis of German BSE Surveillance Data
Quantitative risk assessments for Bovine spongiform encephalopathy (BSE) necessitate estimates for key parameters such as the prevalence of infection, the probability of absence of infection in defined birth cohorts, and the numbers of BSE-infected, but non-detected cattle entering the food chain. We estimated three key parameters with adjustment for misclassification using the German BSE surveillance data using a Gompertz model for latent (i.e.,…
Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification
The Bayesian prevalence estimation method should be prefered over traditional frequentist methods. An acceptable alternative is to combine the Rogan-Gladen point estimate with the Lang-Reiczigel confidence interval
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Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification
The Bayesian prevalence estimation method should be prefered over traditional frequentist methods. An acceptable alternative is to combine the Rogan-Gladen point estimate with the Lang-Reiczigel confidence interval
Analysis of German BSE Surveillance Data
Quantitative risk assessments for Bovine spongiform encephalopathy (BSE) necessitate estimates for key parameters such as the prevalence of infection, the probability of absence of infection in defined birth cohorts, and the numbers of BSE-infected, but non-detected cattle entering the food chain. We estimated three key parameters with adjustment for misclassification using the German BSE surveillance data using a Gompertz model for latent (i.e.,…
Confidence interval (2 works) · Credible interval (2 works) · Animal Disease Management and Epidemiology (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Cohort (1 work) · Confidence distribution (1 work) · Coverage probability (1 work) · Demography (1 work) · Demography (1 work)