COMBINING EVIDENCE ON AIR POLLUTION AND DAILY MORTALITY FROM THE LARGEST US CITIES: A HIERARCHICAL MODELLING STRATEGY

There is continued concern about the health effects of particulat air pollution. The validity of the data sets and statistical techniques used in studies of the relationships between particula air pollution and mortality and morbidity rates has been question To address these concerns, a statistical approach was developed t combined information about air pollution-mortality relationships across multiple cities. The method was illustrated with data from largest 20 US cities. Generalized additive models were used to estimate the relative change in the rate of mortality associated changes in air pollution. The pollution-mortality relative rates across the 20 cities were combined using a Bayesian hierarchical model. The database of air pollution, mortality and meteorologica data for the cities is described and details are given of the modelling approach. The results showed that there was a consisten association of particulate air pollution with daily mortality rat

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09641998
• Corporate Authors:

  Blackwell Publishers

  108 Cowley Road
  Oxford,   United Kingdom  OX4 1JF
• Authors:
  • Dominici, F
  • Samet, J M
  • ZEGER, S L
• Publication Date: 2000

Language

• English

Media Info

• Features: References;
• Pagination: p. 263-302
• Serial:
  • JOURNAL OF THE ROYAL STATISTICAL SOCIETY
  • Volume: 163
  • Issue Number: 3
  • Publisher: Blackwell Publishers
  • ISSN: 0964-1998

Subject/Index Terms

• TRT Terms: Air pollution; Fatalities; Health; Mathematical models; Particles; Research projects; Statistics; Urban areas
• Geographic Terms: United States
• ITRD Terms: 2452: Air pollution; 1602: Fatality; 2144: Health; 6473: Mathematical model; 4511: Particle; 8557: Research project; 6555: Statistics; 313: Urban area; 8122: USA
• Subject Areas: Data and Information Technology; Research;

Filing Info

• Accession Number: 00931680
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Report/Paper Numbers: Series A
• Files: ITRD,
• Created Date: Oct 3 2003 12:00AM