Original data and analysis scripts for a study evaluating the sensitivity and specificity of three diagnostic tests for bovine leukosis virus in dairy cows. The dataset was created by Simon Dufour and last updated on October 13, 2025. It supports the article titled 'Sensitivity and specificity of a milk ELISA-Ab, blood qPCR, and lymphocyte count tests to identify bovine leukosis virus infection in dairy cows using Bayesian latent class models'.
Use Cases
- Comparing diagnostic test performance (sensitivity/specificity) based on the described milk ELISA-Ab, blood qPCR, and lymphocyte count tests.
- Applying Bayesian latent class models for disease prevalence estimation without a perfect gold standard test.
- Replicating or validating the statistical analyses from the associated scientific article.
Strengths
- Includes original data and analysis scripts, enabling full replication of the study.
- Last updated on 2025-10-13, indicating recent maintenance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- Likely contains data collected from diagnostic testing of dairy cows.
- Time Range
- null
- Freshness
- Last updated 2025-10-13 01:55:25
- Geography
- null