Quantifying worker exposures using Bayesian statistical methods in industrial hygiene.

Details

• Personal Author:
  Banerjee S ; Groth CP ; Ramachandran G ; Stenzel MR ; Stewart PA ; Virji, M. Abbas
• Description:
  Workplaces are dynamic and complex locations in which workers can be exposed to a variety of harmful chemicals. One of the industrial hygienists' primary responsibilities is the evaluation of workers' exposures to such chemicals. To do so, appropriate statistical modeling strategies are needed to accurately describe these exposures. Bayesian methods provide a useful framework to quantify and characterize workers' exposures in the complex work environment. This article presents several Bayesian modeling strategies to improve the understanding of workers' exposures while accounting for measurements below the analytic limit of detection. These methods allow industrial hygienists to characterize exposures by summarizing measured exposures, thereby investigating relationships between exposures to multiple chemicals, statistically identifying and describing exposure determinants, and estimating exposures when measurements are unavailable. [Description provided by NIOSH]
• Subjects:
  Occupational Exposure Occupational Health Safety
• Keywords:
  Author Keywords: Industrial Hygiene; Bayesian Methods; Workers; Exposures; Occupational Health Statistical Analysis; Exposure Assessment; Industrial Hygiene; Analytical Processes; Mathematical Models; Occupational Exposure;
• ISBN:
  9781118445112
• Publisher:
  John Wiley & Sons
• Document Type:
  Text
• Genre:
  Book
• Place as Subject:
  California ; Maryland ; OSHA Region 3 ; OSHA Region 9 ; Virginia ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  RHD - Respiratory Health Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-7
• NIOSHTIC Number:
  nn:20065221
• Citation:
  Wiley StatRref: statistics reference online. Balakrishnan N, Colton T, Everitt B, Piegorsch W, Ruggeri F, Teugels JL eds. Hoboken, NJ: John Wiley & Sons, 2022 May; :1-7
• Editor(s):
  Balakrishnan N; Colton T; Everitt B; Piegorsch W; Ruggeri F; Teugels JL
• Federal Fiscal Year:
  2022
• Peer Reviewed:
  True
• Source Full Name:
  Wiley StatsRef: statistics reference online
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:af3de4c1e97ec88fc9ff7286cb5b839601c2c273c30bd4f73bec3b7abba84a17dd57cc9bc8c0669fdc848af44bb0c2b60ce18c2b9aab59724a88e1639e599889
• Download URL:
  https://stacks.cdc.gov/view/cdc/248694/cdc_248694_DS1.pdf
• File Type:
  [PDF - 133.82 KB ]