Estimating exposure response functions using ambient pollution concentrations

Annals of Applied Statistics

Volumn 2, Issue 4, 2008, Pages 1249-1270

  Shaddick, Gavin ^a   Lee, Duncan ^a   Zidek, James V ^a   Salway, Ruth ^a  

^a NONE

Author keywords

Air pollution; Bayesian hierarchical models; Environmental epidemiology; Personal exposure simulator

Indexed keywords

EID: 78649754830     PISSN: 19326157     EISSN: 19417330     Source Type: Journal    
DOI: 10.1214/08-AOAS177     Document Type: Article

References (34)

1. Burke, J., Zufall, M. and Ozkaynak, H. (2001). A population exposure model for particulate matter: Case study results for PM2.5 in Philadelphia, PA. J. Exposure Analysis and Environmental Epidemiology 11 470-489.
2. Daniels, M., Dominici, F., Zeger, S. and Samet, J. (2004). The national morbidity, mortality, and air pollution study. Part III: Concentration-response curves and thresholds for the 20 largest US Cities. HEI Project 96-97 1-21.
3. Dockery, D. W. and Spengler, J. D. (1981). Personal exposure to respirable particulates and sulfates. J. Air Pollution Control Association 31 153-159.
4. Dominici, F., Samet, J. and Zeger, S. (2000). Combining evidence on air pollution and daily mortality from the 20 largest US cities: A hierarchical modeling strategy. J. Roy. Statist. Soc. Ser. A 163 263-302.
5. Dominici, F. and Zeger, S. (2000). A measurement error model for time series studies of air pollution and mortality. Biostatistics 1 157-175.
6. Gelman, A. (2006). Prior distributions for variance parameters in hierarchical models. Bayesian Analysis 1 515-534.
7. Gelman, A., Carlin, J. B., Stern, H. S. and Rubin, D. B. (2003). Bayesian Data Analysis, 2nd ed. Chapman and Hall, London.
8. Hoek, G., Brunekreef, B., Goldbohm, S., Fischer, P. and van-den Brandt, P. (2002). Associations between mortality and indicators of traffic-related air pollution in the Netherlands: A cohort study. Lancet 360 1203-1209.
9. Holloman, C., Bortnick, S., Morara, M., Strauss, W. and Calder, C. (2004). A Bayesian hierarchical approach for relating PM2.5 exposure to cardiovascular mortality in North Carolina. Environmental Health Perspectives 112 1282-1288.
10. Lang, S. and Brezger, A. (2004). Bayesian P-splines. J. Comput. Graph. Statist. 13 183-212.
11. Law, P., Lioy, P., Zelenka, M., Huber, A. and McCurdy, T. (1997). Evaluation of a probabilistic exposure model applied to carbon monoxide (pnem/co) using denver personal exposure monitoring data. J. Air Waste Management Association 47 491-500.
12. Lioy, P. J., Waldman, J. M., Buckley, T., Butler, J. and Piertarinen, C. (1990). The personal, indoor, and outdoor concentrations of PM10 measured in an industrial community during the winter. Atmospheric Environment 24 57-66.
13. McBride, S., Williams, R. and Creason, J. (2007). Bayesian hierarchical modeling of personal exposure to particulate matter. Atmospheric Environment 41 6143-6155.
14. Neas, L., Schwartz, J. and Dockery, D. (1999). A case-crossover analysis of air pollution and mortality in Philadelphia. Environmental Health Perspectives 107 629-631.
15. Ott, W. (1990). A physical explanation of the lognormality of pollutant concentrations. J. Air Waste Management Association 40 1378-1383.
16. Ozkaynak, H., Xue, J., Spengler, J., Wallace, L., Pellizzari, E. and Jenkins, P. (1996). Personal exposure to airborne particles and metals: Results from the particle team study in Riverside California. J. Exposure Analysis and Environmental Epidemiology 6 57-78.
17. Ozone (2006). Air quality criteria for ozone and related photochemical oxidants (final). U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-05/004aF-cF.
18. PM (2004). U.S. Environmental Protection Agency, Washington, DC air quality criteria for particulate matter. EPA 600/P-99/002aF-bF.
19. Reich, B., Fuentes, M. and Burke, J. (2008). Analysis of the effects of ultrafine particulate matter while accounting for human exposure. Environmetrics. DOI: 10.1002/env.915.
20. Richardson, S., Stucker, I. and Hemon, D. (1987). Comparison of relative risks obtained in ecological and individual studies: Some methodological considerations. International J. Epidemiology 16 111-120.
21. Richmond, H., Palma, T., Glen, G. and Smith, L., eds. (2001). Overview of APEX (2.0): EPA's pollutant exposure model for criteria and air toxic inhalation exposures. Annual Meeting of the International Society of Exposure Analysis, 4-8 November, Charleston, South Carolina.
22. Robinson, J. and Thomas, J. (1991). Time spent in activities, locations and microenvironments: A California-national comparison. Environmental Monitoring Systems Laboratory, Las Vegas, Nevada.
23. Salway, R. and Wakefield, J. (2008). A hybrid model for reducing ecological bias. Biostatistics 9 1-17.
24. Shaddick, G. and Wakefield, J. (2002). Modelling daily multivariate pollutant data at multiple sites. Appl. Statist. 51 351-372.
25. Shaddick, G., Zidek, J., White, R., Meloche, J. and Chatfield, C. (2005). Results of using a probabilistic model to estimate personal exposure to air pollution on a study of the short term effect of pm10 on mortality. Epidemiology 16 S90.
26. Shaddick, G., Lee, D., Zidek, J. and Salway, R. (2008). Supplement to "Estimating exposure response functions using ambient pollution concentrations." DOI: 10.1214/08-AOAS177SUPP.
27. Sheppard, L. (2005). Acute air pollution effects: Consequences of exposure distribution and measurements. J. Toxicology and Environmental Health 68 1127-1135.
28. Sheppard, L., Slaughter, J., Schildcrout, J. and Sally Liu, L.-J. (2005). Exposure measurement contributions to estimates of acute air pollution effects. J. Exposure Analysis and Environmental Epidemiology 15 366-376.
29. Spiegelalter, D., Best, N., Carlin, B. and Van der Linde, A. (2002). Bayesian measures of model complexity and fit. J. Roy. Statist. Soc. Ser. B 64 583-639.
30. Wakefield, J. and Salway, R. (2001). A statistical framework for ecological and aggregate studies. J. Roy. Statist. Soc. Ser. A 164 119-137.
31. Yu, O., Sheppard, L., Lumley, T., Koenig, J. and Shapiro, G. (2000). Effects of ambient air pollution on symptoms of asthma in seattle-area children enrolled in the CAMP study. Environmental Health Perspectives 108 1209-1214.
32. Zanobetti, A., Wand, M., Schwartz, J. and Ryan, L. (2000). Generalized additive distributed lag models: Quantifying mortality displacement. Biostatistics 1 279-292.
33. Zidek, J., Shaddick, G., Meloche, J., Chatfield, C. and White, R. (2007). A framework for predicting personal exposures to environmental hazards. Ecological and Environmental Statistics 14 411-431.
34. Zidek, J., Shaddick, G., White, R., Meloche, J. and Chatfield, C. (2005). Using a probabilistic model (pCNEM) to estimate personal exposure to air pollution. Environmetrics 16 481-493.