Online Program Home
My Program

Abstract Details

Activity Number: 556
Type: Contributed
Date/Time: Wednesday, August 3, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract #318712
Title: A Simple Method for Assessing Occupational Exposure via the One-Way Random Effects Model
Author(s): Jie Peng* and Kalimuthu Krishnamoorthy and Thomas Mathew
Companies: St. Ambrose University and University of Louisiana at Lafayette and University of Maryland Baltimore County
Keywords: exceedance probability ; mean exposure level ; generalized confidence interval ; upper confidence limits
Abstract:

A one-way random effects model is postulated for the log-transformed shift-long personal exposure measurements, where the random effect in the model represents an effect due to the worker. Simple closed-form confidence intervals are proposed for the relevant parameters of interest using the method of variance estimates recovery (MOVER). The performance of the confidence bounds are evaluated and compared with those based on the generalized confidence interval approach. Comparison studies indicate that the proposed MOVER confidence bounds are better than the generalized confidence bounds for the overall mean exposure and an upper percentile of the exposure distribution. The proposed methods are illustrated using a few examples involving industrial hygiene data.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

 
 
Copyright © American Statistical Association