Assessing Occupational Exposure via the One-Way Random Effects Model with Unbalanced Data

Details

• Personal Author:
  Guo H ; Krishnamoorthy K
• Description:
  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. [Description provided by NIOSH]
• Subjects:
  Environmental Monitoring Epidemiology Occupational Health Risk Assessment Safety
• Keywords:
  Author Keywords: Generalized P-value Exposure-assessment Generalized Confidence Limits Mathematical-models Models Overall Mean Power Random Effects Risk-analysis Statistical-analysis Variance Components

  More +
• ISSN:
  0378-3758
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Louisiana ; Maryland ; OSHA Region 3 ; OSHA Region 6
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  219-229
• Volume:
  128
• Issue:
  1
• NIOSHTIC Number:
  nn:20026062
• Citation:
  J Stat Plann Inference 2005 Jan; 128(1):219-229
• Contact Point Address:
  K. Krishnamoorthy, Department of Mathematics University of Louisiana at Lafayette Lafayette, LA 70504
• Email:
  krishna@louisiana.edu
• Federal Fiscal Year:
  2005
• Performing Organization:
  University of Maryland, Baltimore
• Peer Reviewed:
  True
• Start Date:
  20000501
• Source Full Name:
  Journal of Statistical Planning and Inference
• End Date:
  20150831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:3831596d422451779bd4d20e56ecc8b93bf81d9957fb154ce861ad7a2eca3cbd8709abb1588318b0a5ac9e3153fd25bb74df7cdbe06add7dca78c92fea957824
• Download URL:
  https://stacks.cdc.gov/view/cdc/197180/cdc_197180_DS1.pdf
• File Type:
  [PDF - 225.07 KB ]