Simon Dufour's replication data and analysis scripts support an article prepared for the Journal of Dairy Science. The dataverse contains datasets used to estimate herd prevalence of contagious and environmental mastitis pathogens in Canadian dairy herds using Bayesian latent class models. It was last updated on April 25, 2026.
Use Cases
- Replicate Bayesian latent class model results based on the described analysis scripts.
- Study the prevalence distribution of mastitis pathogens based on the herd-level data.
- Benchmark new statistical methods for veterinary epidemiology against the provided models.
- Analyze factors influencing contagious versus environmental mastitis based on the dataset features.
Strengths
- Data is directly linked to a peer-reviewed journal submission process for the Journal of Dairy Science.
- Includes both datasets and analysis scripts, facilitating full reproducibility.
- Last update timestamp of 2026-04-25 04:13:42 is provided.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Borealis Harvested Dataverse, authored by Simon Dufour.
- Collection Method
- Data and scripts were created in preparation for a journal article submission.
- Time Range
- null
- Freshness
- Last updated 2026-04-25 04:13:42; freshness should be verified.
- Geography
- Canadian dairy herds.