Analyzing weather effects on airborne particulate matter with HGLM

Environmetrics

Volumn 14, Issue 7, 2003, Pages 687-697

  Lee, Yoon Dong ^a   Yun, Sungcheol ^a   Lee, Youngjo ^a  

^a Seoul National University   (South Korea)

Author keywords

Air pollution; Hierarchical generalized linear models; Particulate matter; Spatial dependence

Indexed keywords

ATMOSPHERIC POLLUTION; STATISTICAL ANALYSIS; SUSPENDED PARTICULATE MATTER;

EID: 0142095073     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/env.612     Document Type: Article

References (19)

1. Cliff AD, Ord JK. 1981. Spatial Processes: Models and Applications. Pion: London.
2. Cox DR, Reid N. 1987. Parameter orthogonality and approximate conditional inference (with discussion). Journal of the Royal Statistical Society, B 49: 1-39.
3. Cressie NAC. 1993. Statistics for Spatial Data (revised edition). Wiley & Sons.
4. Cressie N, Kaiser M, Daniels M, Aldworth J, Lee J, Lahiri S, Cox L. 1999. Spatial analysis of particulate matter in an urban enviroment. In geoENV II - Geostatistics for Enviromental Applications: Proceedings of the Second European Conference on Geostatistics for Environmental Applications, Gomez-Hernandez J, Soares A, Froidevaux R (eds).
5. Daniels MJ, Lee YD, Kaiser M. 2001. Assessing sources of variability in measurement of ambient paniculate matter. Environmetrics 12: 547-558.
6. Dockery DW, Pope CA, Xu X, Spengler JD, Ware JH, Fay ME, Ferris BG, Speizer FE. 1993. An association between air pollution and mortality in six U.S. Cites. New England Journal of Medicine 329: 1753-1759.
7. Harville DA. 1977. Maximum likelihood approaches to variance component estimation and related problems (with Discussion). Journal of the American Statistical Association 72: 320-340.
8. Henderson CR. 1975. Best linear unbiased estimation and prediction under a selection model. Biometrics 31: 423-447.
9. Lee Y, Nelder JA. 1996. Hierarchical generalized linear models (with discussion). Journal of the Royal Statistical Society, B 58: 619-678.
10. Lee Y, Nelder JA. 2001a. Hierarchical generalised linear models: a synthesis of generalised linear models, random-effect models and structured dispersion. Biometrika 88: 987-1006.
11. Lee Y, Nelder JA. 2001b. Modelling and analysing correlated non-normal data. Statistical Modelling 1: 7-16.
12. Pawitan Y. 2001. In all Likelihood: Statistical Modelling and Inference Using Likelihood. Clarendon Press: Oxford.
13. Pope CA, III, Thun MJ, Namboodiri MM, Dockery DW, Evans JS, Speizer FE, Heath CW. 1995. Particulate air pollution as a predictor of mortality in a propective study of U.S. adults. American Journal of Respiratory Critical Care Medicine 151: 669-674.
14. Schwartz J. 1993. Air pollution and daily mortality in Birmingham, Alabama. American Journal of Epidemiology 137: 1136-1147.
15. Sheppard L, Damian D. 2000. Estimating short-term PM effects accounting for surrogate exposure measurements from ambient monitors. Environmetrics 11: 675-687.
16. Smoyer KE, Kalkstein LS, Greene JS, Ye H. 2000. The impacts of weather and pollution on human mortality in Birmingham, Alabama and Philadelphia, Pennsylvania. International Journal of Climatology 20: 881-897.
17. Stern HS, Cressie H. 2000. Posterior predictive model checks for disease mapping models. Statistics in Medicine 29: 2377-2397.
18. Sun L, Zidek JV, Le ND, Özkaynak H. 2000. Interpolating Vancouver's daily ambient PM10 field. Environmetrics 11: 651-663.
19. Zidek J. 1998. Modelling Vancouver PM field for health impact analysis. Presented at Particulate Matter Methodology Workshop. University of Washington: Seattle.