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Time-Varying Coefficient Models for the Analysis of Air Pollution and Health Outcome Data

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  • Duncan Lee
  • Gavin Shaddick

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  • Duncan Lee & Gavin Shaddick, 2007. "Time-Varying Coefficient Models for the Analysis of Air Pollution and Health Outcome Data," Biometrics, The International Biometric Society, vol. 63(4), pages 1253-1261, December.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:4:p:1253-1261
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00776.x
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    References listed on IDEAS

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    1. Ludwig Fahrmeir & Stefan Lang, 2001. "Bayesian inference for generalized additive mixed models based on Markov random field priors," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(2), pages 201-220.
    2. Monica Chiogna and Carlo Gaetan & Carlo Gaetan, 2002. "Dynamic generalized linear models with application to environmental epidemiology," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(4), pages 453-468, October.
    3. Marx, Brian D. & Eilers, Paul H. C., 1998. "Direct generalized additive modeling with penalized likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 28(2), pages 193-209, August.
    4. X. Lin & D. Zhang, 1999. "Inference in generalized additive mixed modelsby using smoothing splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(2), pages 381-400, April.
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    1. Francesca Bruno & Daniela Cocchi & Lucia Paci, 2013. "A practical approach for assessing the effect of grouping in hierarchical spatio-temporal models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(2), pages 93-108, April.
    2. Choi, Jungsoon & Fuentes, Montserrat & Reich, Brian J., 2009. "Spatial-temporal association between fine particulate matter and daily mortality," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2989-3000, June.
    3. Yan-Yong Zhao & Jin-Guan Lin & Hong-Xia Wang & Xing-Fang Huang, 2017. "Jump-detection-based estimation in time-varying coefficient models and empirical applications," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(3), pages 574-599, September.
    4. Zhao, Yan-Yong & Lin, Jin-Guan, 2019. "Estimation and test of jump discontinuities in varying coefficient models with empirical applications," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 145-163.
    5. Moniruzzaman, Syed & Andersson, Ragnar, 2008. "Economic development as a determinant of injury mortality - A longitudinal approach," Social Science & Medicine, Elsevier, vol. 66(8), pages 1699-1708, April.
    6. Yicong Lin & Mingxuan Song, 2023. "Robust bootstrap inference for linear time-varying coefficient models: Some Monte Carlo evidence," Tinbergen Institute Discussion Papers 23-049/III, Tinbergen Institute.

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