Hierarchical latency models for dose-time-response associations

Details

• Personal Author:
  Cole SR ; Langholz B ; MacLehose RF ; Richardson DB
• Description:
  Exposure lagging and exposure-time window analysis are 2 widely used approaches to allow for induction and latency periods in analyses of exposure-disease associations. Exposure lagging implies a strong parametric assumption about the temporal evolution of the exposure-disease association. An exposure-time window analysis allows for a more flexible description of temporal variation in exposure effects but may result in unstable risk estimates that are sensitive to how windows are defined. The authors describe a hierarchical regression approach that combines time window analysis with a parametric latency model. They illustrate this approach using data from 2 occupational cohort studies: studies of lung cancer mortality among 1) asbestos textile workers and 2) uranium miners. For each cohort, an exposure-time window analysis was compared with a hierarchical regression analysis with shrinkage toward a simpler, second-stage parametric latency model. In each cohort analysis, there is substantial stability gained in time window-specific estimates of association by using a hierarchical regression approach. The proposed hierarchical regression model couples a time window analysis with a parametric latency model; this approach provides a way to stabilize risk estimates derived from a time window analysis and a way to reduce bias arising from misspecification of a parametric latency model. [Description provided by NIOSH]
• Subjects:
  Asbestos Inorganic Chemicals Lung Lung Diseases Neoplasms Occupational Health Respiratory System Respiratory Tract Diseases Risk Assessment Risk Factors Safety Software Textile Industry Uranium

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• Keywords:
  Analytical-processes Asbestos-products Author Keywords: Cohort Studies Computer-models Diseases Dose-response Exposure-levels Hierarchical Model Latency Lung-cancer Mathematical-models Models Neoplasms Regression Risk-analysis Risk-factors Statistical-analysis Textile-workers Uranium-compounds Uranium-miners

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• ISSN:
  0002-9262
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  California ; Minnesota ; North Carolina ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  173
• Issue:
  6
• NIOSHTIC Number:
  nn:20041546
• Citation:
  Am J Epidemiol 2011 Mar; 173(6):695-702
• Contact Point Address:
  David B. Richardson, Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC 27599-7435
• Email:
  david.richardson@unc.edu
• Federal Fiscal Year:
  2011
• Performing Organization:
  University of Nevada, Reno
• Peer Reviewed:
  True
• Start Date:
  20030930
• Source Full Name:
  American Journal of Epidemiology
• End Date:
  20110131
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:63e74a183889c1a4f6c20f84bae08a0d00e964ba997f4fd5ff4e88505a3e943399b5d8e5ec167f39df0a3007e29d77c702169af7c7e3d33a61bf63c3e4412ec1
• Download URL:
  https://stacks.cdc.gov/view/cdc/194087/cdc_194087_DS1.pdf
• File Type:
  [PDF - 263.62 KB ]