Industrial Hygiene Statistics - The Next Generation Webinar Recording
Earn 1 Contact Hour
Member $99 | Nonmember $125 | Student $25
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. The strengths and limitations of three statistical approaches - traditional statistics, Bayesian statistics, and rule-based statistics – are compared through the application of real-world and modeled data. Because of the uncertainty and variability in typical industrial hygiene data sets, there are common pitfalls in interpreting the data, even among experienced industrial hygienists. Traditional and advanced statistical tools are under-utilized and often misunderstood and misapplied. The appropriate choice and use of each tool depend on the circumstances and data.
Upon completion, participants will be able to:
- Understand sources of uncertainty and variability in industrial hygiene data
- Identify strengths and limitations of statistical approaches to analyzing industrial hygiene data
- Avoid common pitfalls in applying statistics to industrial hygiene data
- Choose the right statistical tools to analyze industrial hygiene 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.
Questions? Contact DLAssistant@aiha.org.