Statistical Analysis of Air Pollution Panel Studies: An Illustration

Annals of Epidemiology

Volumn 18, Issue 10, 2008, Pages 792-802

  Janes, Holly ^a   Sheppard, Lianne ^a   Shepherd, Kristen ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Air Pollution; Longitudinal Data; Panel Study Design

Indexed keywords

AIR POLLUTION; COMPUTER PROGRAM; CORRELATION ANALYSIS; DATA ANALYSIS; HEALTH HAZARD; LONGITUDINAL STUDY; METHODOLOGY; PANEL STUDY; PRIORITY JOURNAL; REVIEW; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ADOLESCENT; AIR POLLUTANTS; AIR POLLUTION; CHILD; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; ENVIRONMENTAL EXPOSURE; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MODELS, STATISTICAL; MODELS, THEORETICAL; TIME FACTORS; WASHINGTON;

EID: 52049119954     PISSN: 10472797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.annepidem.2008.06.004     Document Type: Review

References (31)

1. Koenig J.Q., Jansen K., Mar T.F., et al. Measurement of offline exhaled nitric oxide in a study of community exposure to air pollution. Environ Health Perspect 111 (2003) 1625-1629
2. Liu L.J., Box M., Kalman D., et al. Exposure assessment of particulate matter for susceptible populations in Seattle. Environ Health Perspect 111 (2003) 909-918
3. 2.5 exposure in Seattle. Environ Health Perspect 113 (2005) 1791-1794
4. Trenga C.A., Sullivan J.H., Schildcrout J.S., Shepherd K.P., Shapiro G.G., Liu L.J., et al. Effect of particulate air pollution on lung function in adult and pediatric subjects in a Seattle panel study. Chest 129 (2006) 1614-1622
5. Liang K.Y., and Zeger S.L. Longitudinal data analysis using generalized linear models. Biometrika 73 (1986) 13-22
6. Diggle P.J., Heagerty P., Liang K.Y., and Zeger S.L. The analysis of longitudinal data. 2nd ed. (2002), Oxford University Press, Oxford
7. Greenland S. Dose-response and trend analysis in epidemiology: alternatives to categorical analysis. Epidemiology 6 (1995) 345-347
8. Korn E.L., and Whittemore A.S. Methods for analyzing panel studies of acute health effects of air pollution. Biometrics 35 (1979) 795-802
9. Sheppard L., Prentice R.L., and Rossing M.A. Design considerations for estimation of exposure effects on disease risk, using aggregate data studies. Stat Med 15 (1996) 1849-1858
10. Sheppard L. Ecologic study design. Encyclopedia of Environmetrics (2002), John Wiley and Sons, New York p. 673-705
11. Dominici F., Sheppard L., and Clyde M. Health effects of air pollution: a statistical review. Int Stat Rev. 71 (2003) 243-276
12. Schwartz J. The distributed lag between air pollution and daily deaths. Epidemiology 11 (2000) 320-326
13. Goodman P.G., Dockery D.W., and Clancy L. Cause-specific mortality and the extended effects of particulate pollution and temperature exposure. Environ Health Perspect 112 (2003) 179-185
14. White H. Maximum likelihood estimation of misspecified models. Econometrics 50 (1982) 1-25
15. Royall R.M. Model robust inference using maximum likelihood estimators. Int Stat Rev 54 (2005) 221-226
16. Pepe M.S., and Anderson G.L. A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data. Communications in Statistics. Part B. Simulation and Computation 23 (1994) 939-951
17. Schildcrout J.S., and Heagerty P. Regression analysis of longitudinal binary data with time-dependent environmental covariates: bias and efficiency. Biostatistics 6 (2005) 633-652
18. Little R.J.A., and Rubin D.B. Statistical analysis with missing data (1987), John Wiley, New York
19. Heyting A., Tolboom J.T.B.M., and Essers J.G.A. Statistical handling of dropouts in longitudinal clinical trials. Stat Med 11 (1992) 2043-2062
20. Robins J.M., Rotnitzky A., and Zhou L.P. Analysis of semiparametric regression models for repeated outcomes in the presence of missing data. J Am Stat Assoc. 90 (1995) 106-121
21. Scharfstein D., Rotnitzky A., and Robins J.M. Adjusting for non-ignorable dropout using semiparametric non-response models (with discussion). J Am Stat Assoc 94 (1999) 1096-1120
22. Wu M.C., and Bailey K.R. Estimation and comparison of changes in the presence of informative right censoring: conditional linear model. Biometrics 45 (1989) 939-955
23. Little R.J.A. Pattern-mixture models for multivariate incomplete data. J Am Stat Assoc 88 (1993) 125-134
24. Diggle P.J., and Kenward M.G. Informative dropout in longitudinal data analysis (with discussion). Appl Stat 43 (1994) 49-73
25. Wu M.C., and Carroll R.J. Estimation and comparison of changes in the presence of right censoring by modeling the censoring process. Biometrics 44 (2005) 175-188
26. Palta M., and Yao T.-J. Analysis of longitudinal data with unmeasured confounders. Biometrics 47 (1991) 1355-1369
27. Yu O.C., Sheppard L., Lumley T., Koenig J.Q., and Shapiro G.G. Effects of ambient air pollution on symptoms of asthma in Seattle-area children enrolled in the CAMP study. Environ Health Perspect 108 (2000) 1209-1214
28. Lumley T., and Sheppard L. Assessing seasonal confounding and model selection bias in air pollution epidemiology using positive and negative control analysis. Epidemiology 11 (2000) 705-717
29. Kunzli N., and Schindler C. A call for reporting the relevant exposure tem in air pollution case-crossover studies. J Epidemiol Community Health 59 (2005) 527-530
30. Diggle P.J. Time series: A biostatistical introduction (1990), Oxford University Press, Oxford
31. Heagerty P., and Zeger S.L. Lorelogram: a regression approach to exploring dependence in longitudinal categorical responses. J Am Stat Assoc 93 (1998) 150-162