An Introduction to Bayesisan Decision Analysis
Exposure assessments are central to any Industrial Hygiene program as Hygienists spend huge amounts of time classifying exposure profiles. However, it can be difficult to be sure when the right classification has been made, particularly when a hygienist’s individual judgment is required. This challenge is further exacerbated when working with small data sets. Fortunately, Bayesian decision analysis (BDA) is a form of statistical analysis of occupational exposure data that allows hygienists to select the most appropriate exposure category, even with limited data. BDA results in easy to interpret “decision charts”, permits the user to mathematically incorporate prior information and professional judgment into the analysis, and can handle non-detects. It can also be used to select the most appropriate level of respiratory protection for those difficult to control exposure scenarios. Presentation covers the basic methodology, assumptions and cautions, and will include several examples drawn from the chemical and pharmaceutical industries. Watch this webinar and learn: A basic understanding of BDA methodology. Ability to apply BDA, and use the resulting “decision charts” to make IH decisions. An understanding of the relationship between BDA and the AIHA exposure assessment model. An introduction to quantifying “professional judgment” using a Prior Decision Chart. An appreciation of the advantage that BDA has over the calculation of standard statistics and confidence intervals.