In typical industrial hygiene data sets, there are common pitfalls in interpreting the data, even among experienced industrial hygienists. This webinar will help the attendee understand the sources of uncertainty and variability in industrial hygiene data, and how to choose a statistical analysis tool, particularly when only a few samples are collected. Traditional and advanced statistical tools are under-utilized and often misunderstood and misapplied. The strengths and limitations of three statistical approaches - traditional statistics, Bayesian statistics, and rule-based approaches - are compared through the application of real-world and modeled data. The appropriate choice and use of each tool depends on the circumstances and data.
Brent Altemose is a Principal Industrial Hygienist with SafeBridge Consultants, Inc. His professional expertise is a unique blend of industrial hygiene, engineering, and occupational safety. He holds a B.S. in Mechanical Engineering from Penn State, an M.S. in Industrial Hygiene from the University of North Carolina, and a Ph.D. in Environmental and Occupational Health from Rutgers University. He is both a Certified Industrial Hygienist (CIH) and a Certified Safety Professional (CSP). Since beginning his career as a ventilation engineer, he has worked for over 20 years in the utility, pharmaceutical, medical device, and consulting industries. In the field of industrial hygiene, Brent has particular expertise in pharmaceutical exposure control, exposure assessment strategies, analysis of industrial hygiene data, local exhaust ventilation, and indoor air quality.