Extending distributed lag models to higher degrees

Biostatistics

Volumn 15, Issue 2, 2014, Pages 398-412

  Heaton, Matthew J ^a   Peng, Roger D ^b  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Dimension reduction; Gaussian process; Heat exposure; Lagged interaction; NMMAPS dataset

Indexed keywords

AGED; ENVIRONMENTAL EXPOSURE; EPIDEMIOLOGY; HEAT; HUMAN; MORTALITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; UNITED STATES;

AGED; DATA INTERPRETATION, STATISTICAL; ENVIRONMENTAL EXPOSURE; HOT TEMPERATURE; HUMANS; LOS ANGELES; MODELS, STATISTICAL; MORTALITY; NEW YORK;

EID: 84896786506     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxt031     Document Type: Article

References (21)

1. ANDERSON, B. G. AND BELL, M. L. (2009).Weather-related mortality: How heat, cold, and heat waves affect mortality in the united states. Epidemiology 20, 205-213
2. BANERJEE, S., GELFAND, A. E., FINLEY, A. O. AND SANG, H. (2008). Gaussian predictive process models for large spatial datasets. Journal of the Royal Statistical Society, Series B 70, 825-848
3. BRAGA, A. L., ZANOBETTI, A. AND SCHWARTZ, J. (2002). The effect of weather on respiratory and cardiovascular deaths in 12 U.S. cities. Environmental Health Perspectives 110(9), 859-863
4. CAFFO, B. S., PENG, R. D., DOMINICI, F., LOUIS, T. A. AND ZEGER, S. L. (2011). Parallel MCMC imputation for multiple distributed lag models: A case study in environmental epidemiology. The Handbook of Markov Chain Monte Carlo. Boca Raton, FL: Dhapman and Hall/CRC Press, pp. 493-510
5. DU, J., ZHANG, H. AND MANDREKAR, V. S. (2009). Fixed-domain asymptotic properties of tapered maximum likelihood estimators. The Annals of Statistics 37(6A), 3330-3361
6. GAMERMAN, D. AND LOPES, H. F. (2006). Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, 2nd edition. Boca Raton, FL: Dhapman and Hall/CRC Press
7. GASPARRINI, A., ARMSTRONG, B. AND KENWARD, M. G. (2010). Distributed lag non-linear models. Statistics in Medicine 29, 2224-2234
8. GNEITING, T., ŠEVčíKOV Á, H. AND PERCIVAL, D. B. (2012). Estimators of fractal dimension: Assessing the roughness of time series and spatial data. Statistical Science 27(2), 247-277
9. HAJAT, S., ARMSTRONG, B. G., GOUVEIA, N. AND WILKINSON, P. (2005). Mortality displacement of heat-related deaths. Epidemiology 16, 613-620
10. HEATON, M. J. AND PENG, R. D. (2012). Flexible distributed lag models using random functions with application to estimating mortality displacement from heat-related deaths. Journal of Agricultural, Biological, and Environmental Statistics 17(3), 313-331
11. IPCC. (2007). Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Dambridge University Press
12. KOVATS, R. S. AND HAJAT, S. (2008). Heat stress and public health: A critical review. Annual Review of Public Health 29, 41-55
13. LI, B., SAIN, S., MEARNS, L. O., ANDERSON, H. A., KOVATS, S., EBI, K. L., BEKKEDAL, M., KANAREK, M. S. AND PATZ, J. A. (2011). The impact of extreme heat on morbidity in Milwaukee, Wisconsin. Climatic Change 110, 959-976. doi:10.1007/s10584-011-0120-y.
14. O'NEILL, M. S., ZANOBETTI, A. AND SCHWARTZ, J. (2003). Modifiers of the temperature and mortality association in seven us cities. American Journal of Epidemiology 157, 1074-1082
15. PENG, R. D., BOBB, J. F., TEBALDI, C., MCDANIEL, L., BELL, M. L. AND DOMINICI, F. (2011). Toward a quantitative estimate of future heat wave mortality under global climate change. Environmental Health Perspectives 119, 701-706
16. SAMET, J. M., ZEGER, S. L., DOMINICI, F., CURRIERO, F., COURSAC, I., DOCKERY, D. W., SCHWARTZ, J. AND ZANOBETTI, A. (2000). The national morbidity, mortality, and air pollution study part II: Morbidity and mortality from air pollution in the United States. Research Report Health Effects Institute 94, 5-79
17. SCHWARTZ, J. (2000). The distributed lag between air pollution and daily deaths. Epidemiology 11, 320-326
18. WELTY, L. J. AND ZEGER, S. L. (2005). Are the acute effects of particulatematter on mortality in the national morbidity, mortality, and air pollution study the result of inadequate control for weather and season? A sensitivity analysis using flexible distributed lag models. American Journal of Epidemiology 162, 80-88
19. WELTY, L. J., PENG, R. D., ZEGER, S. L. AND DOMINICI, F. (2009). Bayesian distributed lag models: Estimating the effects of particulate matter air pollution on daily mortality. Biometrics 65, 282-291
20. ZHANG, H. (2004). Inconsistent estimation and asymptotically equal interpolations in model-based geostatistics. Journal of the American Statistical Association 99(465), 250-261
21. ZHANG, H. AND WANG, Y. (2010). Kriging and cross-validation for massive spatial data. Environmetrics 21, 290-304.