Genre
- Journal Article
We develop Bayesian models to estimate cluster-level test characteristics, sensitivity, specificity, prevalence, and predictive values, based on four different sampling schemes: a single test case and three sequential test cases. The corresponding cluster-level characteristics are calculated and compared for different sample sizes, sampling schemes, individual-level sensitivities, specificities, and cut-off values. We compared posterior estimates of individual-level and cluster-level characteristics for these four sampling schemes with simulated data. Two illustrations, one for Johne's disease in cattle and another for Salmonella in pig herds, are used to demonstrate application of the methods.
Su ChunLung
Washington; USA
American Statistical Association
Accession Number: 20073219803. Publication Type: Journal Article. Language: English. Subject Subsets: Veterinary Science; Veterinary Science; Pig Science
Source type: Electronic(1)
http://search.ebscohost.com/login.aspx?direct=true&db=lah&AN=20073219803&site=eds-live; http://miranda.asa.catchword.org/vl=7700313/cl=13/nw=1/rpsv/cw/asa/10857117/v12n2/s7/p250
Language
- English
Subjects
- paratuberculosis
- estimation
- Bayesian theory
- Gracilicutes
- Swine
- hogs
- diagnosis
- ruminants
- salmonellosis
- Salmonella infections
- animals
- Suiformes
- pigs
- eukaryotes
- Mycobacteriaceae
- Sus
- Mycobacterium
- bacteria
- Prion, Viral, Bacterial and Fungal Pathogens of Animals (LL821) (New March 2000)
- Diagnosis of Animal Diseases (LL886) (New March 2000)
- Mycobacterium avium subsp. paratuberculosis
- accuracy
- Sus scrofa
- Chordata
- Mathematics and Statistics (ZZ100)
- Mycobacterium avium
- Firmicutes
- Suidae
- Artiodactyla
- Enterobacteriaceae
- Bovidae
- diagnostic techniques
- ungulates
- mammals
- Salmonella
- vertebrates
- Techniques and Methodology (ZZ900)
- Bos
- Johne's disease
- prokaryotes
- cattle