Industrial Hygiene Exposure Assessment: The Good, Bad, and

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Bayesian Decision Analysis - BDA � The Promise The Prior Bayesian Calc. The Posterior The Likelihood
Bayesian Decision Analysis - BDA � The Reality � What did we say about IHs ability to estimate 95 %tile with no measurements? � Current Recommendations of a Flat Prior � What does that mean? � Example IHDataAnalyst
Page 1 and 2:
Industrial Hygiene Exposure Assessm
Page 3 and 4:
Exposure Assessment � Do we do a
Page 5 and 6:
Where we Started � 1977 NIOSH Doc
Page 7 and 8:
1977 NIOSH Guidance
Page 9 and 10:
1977 NIOSH Guidance � What is the
Page 11 and 12:
Exposure Assessment The Good
Page 13 and 14:
AIHA Exposure Assessment Strategy o
Page 15 and 16: Example Basic Characterization Spre
Page 17 and 18: AIHA Exposure Assessment Strategy
Page 19 and 20: Exposure Point Inventories Mark Bet
Page 21 and 22: The AIHA Model Exposure Control Rat
Page 25 and 26: Ranking Qualitative Exposure Determ
Page 27 and 28: Statistical Analysis of the Selecti
Page 29 and 30: Qualities that Effect Choice - Part
Page 36 and 37: West Michigan Industrial Hygiene So
Page 38 and 39: The Bad - Statistics � What do th
Page 40 and 41: Distributions with a Mean=1, Are th
Page 42 and 43: Example: Welding fume data - estima
Page 44 and 45: Example: Welding fume data - estima
Page 46 and 47: Sample 95 th Percentile Exposure
Page 48 and 49: 90 th , 95 th , and 99 th Percentil
Page 50 and 51: Alternative upper percentile formul
Page 52 and 53: Upper Confidence Limit - 95% Confid
Page 56 and 57: Statistical Analysis of Exposure Da
Page 58 and 59: Statistical Analysis of Exposure Da
Page 60 and 61: Exposure Assessments - The Better?
Page 62 and 63: The AIHA Model Exposure Control Rat
Page 64 and 65: R.O.T. for Estimating the 95 th Per
Page 68: AIHA Exposure Assessment Strategy
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Industrial Hygiene Exposure Assessment: The Good, Bad, and

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