This webinar will introduce the application of EN689:2018 as an alternative exposure assessment strategy to the NIOSH/AIHA approach. EN689 uses a 2-stage approach to compare a small number of samples to a fraction of the OEL to determine compliance. Additional samples are only required if no compliance decision can be made. We will also cover some additional aspects of exposure assessment statistics including:
Within- and Between- worker variance; what this means for compliance in SEGS and individual health risk
What (not) to do with censored data - making up results that don’t belong and their effects on your inferences
Outliers - Do I throw these out?
Methods for assessing longitudinal trend - Are we really improving?
Peter Knott MClinEpid COH® MAIOH
Peter is a Certified Occupational Hygienist (COH)® and a member of the Australian Institute of Occupational Hygienists for over 30 years. His interest in occupational hygiene started during his chemistry traineeship in a primary aluminium smelter. From there he gained experience across a wide variety of industries including aluminium fabrication, power generation, mining and PPE manufacturing in Australia and overseas. Peter has represented industry bodies on Australian Standards committees for workplace atmospheres, respiratory protection and hearing protection. He has published or presented on a variety of topics such as exposure standards, statistical analysis of exposure data, biological monitoring, respiratory and hearing protection, diesel particulate matter and bioaerosol transmission. He has tertiary qualifications in Chemistry, Environmental Health and Epidemiology, and is currently a doctoral student in Clinical Epidemiology at the University of Newcastle where he is researching the effect of lifetime occupational exposures to chemical mixtures on selected chronic diseases.
Friday 21st August 2020
12:00pm to 13:30pm AEST
AIOH Members : $20 + GST | Non-Members: $45 + GST
This is an online session with a link being provided 48 hours before event date.
0.1 CM point awarded for attendance
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