Bayesian hierarchical modelling of historical data of the South African coal mining industry for compliance testing

• Published in: International Journal of Environmental Research and Public Health
• Main Authors: Made, Felix, Kandala, Ngianga-Bakwin, Brouwer, Derk
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: MDPI 2022
• Subjects: Heg; sami
• Online Access: http://wrap.warwick.ac.uk/164464/; http://wrap.warwick.ac.uk/164464/7/WRAP-Bayesian-hierarchical-modelling-historical-data-South-African-coal-mining-industry-compliance-testing-2022.pdf; https://doi.org/10.3390/ijerph19084442

Bayesian hierarchical framework for exposure data compliance testing is highly recommended in occupational hygiene. However, it has not been used for coal dust exposure compliance testing in South Africa (SA). The Bayesian analysis incorporates prior information, which increases solid decision makin...