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What's New
May 18th
2012: One day
workshop on Respiratory Protection Program: CanadInns Polo Park
Why do I need a Respiratory Protection Program and what is this all about?
Respirators are last lines of defense against exposure to hazardous
substances. Respirators reduce but do not eliminate exposures. Management
and employees alike must understand when respirators may be used and when
they may not be used. We will be learning how to develop a Respiratory
Protection Program including instruction on safe use, limitations and
maintenance of respirators. In addition, we will discuss hazard assessment
and cartridge change schedule. Quantitative fit testing will be available as
part of the course.
October 26th
2011: One day
workshop on Bayesian Decision Analysis: 35 Sutherland Classroom
Do you want to be more confident when conducting exposure risk assessments?
Do you want to learn more about exposure risk assessments?
Then come learn about an easy new advancement in decision making – the use
of Bayesian Statistics. This course will provide an overview of the
Bayesian framework for decision analysis and explore, through discussion and
workshops, opportunities for its application in industrial hygiene data
interpretation and exposure risk assessment. There are no
prerequisites for this course and it is suitable for both the general safety
professional and IH alike.
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AIHA Manitoba Local Section |
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“Advancements in Exposure Assessment -
Improving Data Interpretation and Professional Judgment Using
Bayesian Decision Analysis” |
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October 26, 8:00 to 5:00 |
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Time |
Duration (Min) |
Topic |
|
8:00 AM |
20 |
Introduction |
|
8:20 AM |
30 |
Interpreting Data |
|
8:50 AM |
20 |
Class Exercise:
Data Interpretation Test 1 |
|
9:10 AM |
20 |
Bayesian
Statistics - How Might They Help? |
|
9:30 AM |
20 |
AIHA Exposure
Assessment Model: Inherently Bayesian |
|
9:50 AM |
25 |
Traditional IH
Statistics |
|
10:15 AM |
15 |
Morning Break |
|
10:30 AM |
20 |
Rules of Thumb |
|
10:50 AM |
20 |
Class Exercise:
Data Interpretation Test 2 |
|
11:10 AM |
25 |
Bayesian
Statistics |
|
11:35 AM |
60 |
Lunch |
|
12:35 PM |
60 |
Bayesian Decision
Analysis (BDA) Theory and Tool |
|
1:35 PM |
35 |
Scenario Examples
- Decision Chart Interpretation |
|
2:10 PM |
25 |
BDA Issues |
|
2:35 PM |
30 |
Scenario Examples
- GSD and Parameter Space Verification |
|
3:05 PM |
15 |
Afternoon Break |
|
3:20 PM |
40 |
Use of Subjective
Probability and Modeling |
|
4:00 PM |
35 |
BDA: Integrating
Professional Judgment |
|
4:35 PM |
15 |
Other Potential
Applications for BDA |
|
4:50 PM |
10 |
Closing
Discussion |
|
5:00 PM |
|
End Class |