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An intercomparison study of ELISAs for the detection of porcine reproductive and respiratory syndrome virus – evaluating six conditionally dependent tests
- Source :
- PLoS ONE, Vol 17, Iss 1 (2022), PLoS ONE, PLoS ONE, Vol 17, Iss 1, p e0262944 (2022)
- Publication Year :
- 2022
- Publisher :
- Public Library of Science (PLoS), 2022.
-
Abstract
- Latent class analysis is a widely used statistical method for evaluating diagnostic tests without any gold standard. It requires the results of at least two tests applied to the same individuals. Based on the resulting response patterns, the method estimates the test accuracy and the unknown disease status for all individuals in the sample. An important assumption is the conditional independence of the tests. If tests with the same biological principle are used, the assumption is not fulfilled, which may lead to biased results. In a recent publication, we developed a method that considers the dependencies in the latent class model and estimates all parameters using frequentist methods. Here, we evaluate the practicability of the method by applying it to the results of six ELISA tests for antibodies against the porcine reproductive and respiratory syndrome (PRRS) virus in pigs that generally follow the same biological principle. First, we present different methods of identifying suitable starting values for the algorithm and apply these to the dataset and a vaccinated subgroup. We present the calculated values of the test accuracies, the estimated proportion of antibody-positive animals and the dependency structure for both datasets. Different starting values led to matching results for the entire dataset. For the vaccinated subgroup, the results were more dependent on the selected starting values. All six ELISA tests are well suited to detect antibodies against PRRS virus, whereas none of the tests had the best values for sensitivity and specificity simultaneously. The results thus show that the method used is able to determine the parameter values of conditionally dependent tests with suitable starting values. The choice of test should be based on the general fit-for-purpose concept and the population under study.
- Subjects :
- Male
Swine
Physiology
Antibodies, Viral
Biochemistry
Medical Conditions
Mathematical and Statistical Techniques
Immune Physiology
Medicine and Health Sciences
Public and Occupational Health
Enzyme-Linked Immunoassays
Virus Testing
Mammals
Vaccines
Immune System Proteins
Applied Mathematics
Simulation and Modeling
Statistics
Eukaryota
Vaccination and Immunization
Infectious Diseases
Vertebrates
Physical Sciences
Medicine
Female
Algorithms
Research Article
Infectious Disease Control
Science
Immunology
Porcine Reproductive and Respiratory Syndrome
Enzyme-Linked Immunosorbent Assay
Research and Analysis Methods
Microbiology
Antibodies
Diagnostic Medicine
Virology
Animals
Porcine respiratory and reproductive syndrome virus
Statistical Methods
Immunoassays
Organisms
Biology and Life Sciences
Proteins
Viral Vaccines
Amniotes
Immunologic Techniques
Preventive Medicine
Zoology
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 17
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.pmid.dedup....8f68eefd28519b1d851532455ada05a3