Assessing occupational exposure via the one-way random effects model with unbalanced data |
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| Institution: | 1. School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia;2. Department of Chemical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, Victoria 3010, Australia;1. Air Quality and Climate Change Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran;2. Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran;3. Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran;4. Maternal Fetal Medicine, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran;5. Process and Engineering Manager, Municipal Water Contract Operations Business, Veolia North America, USA;6. Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran;7. Department of Gynecology and Obstetrics, School of Medicine Mahdieh Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran;1. Edith Cowan University, Australia;2. Centre of Excellence for Natural Resource Management, University of Western Australia, Australia;3. School of Design, University of Western Australia, Australia;1. Faculty of Health Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada;2. School of Public Health, Mongolian National University of Medical Sciences, Zorig Street, Ulaanbaatar, 14210, Mongolia;3. Institute of Meteorology and Environmental Monitoring, Ministry of Environment of Mongolia, Mongolia;4. Mongolian National Center for Public Health, Olympic Street 2, Ulaanbaatar, Mongolia;5. Sukhbaatar District Health Center, 11 Horoo, Tsagdaagiin Gudamj, Sukhbaatar District, Ulaanbaatar, Mongolia;6. Ministry of Health of Mongolia, Olympic Street-2, Government Building VIII, Sukhbaatar District, Ulaanbaatar, Mongolia;7. Environmental Health Services, British Columbia Centre for Disease Control, 655 W. 12th Ave, Vancouver, BC, V5T 4R4, Canada;8. School of Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada;1. School of Architecture and Built Environment, University of Newcastle, Newcastle, NSW, Australia;2. Faculty of Built Environment, UNSW, Sydney, NSW, Australia;3. Faculty of Hydraulic Engineering, National University of Civil Engineering, Hanoi, Viet Nam |
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| Abstract: | This article considers a one-way random effects model for assessing the proportion of workers whose mean exposures exceed the occupational exposure limit based on exposure measurements from a random sample of workers. Hypothesis testing and interval estimation for the relevant parameter of interest are proposed when the exposure data are unbalanced. The methods are based on the generalized p-value approach, and simplify to the ones in Krishnamoorthy and Mathews (J. Agri. Biol. Environ. Statist. 7 (2002) 440) when the data are balanced. The sizes and powers of the test are evaluated numerically. The numerical studies show that the proposed inferential procedures are satisfactory even for small samples. The results are illustrated using practical examples. |
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