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Impact of preferential sampling on exposure prediction and health effect inference in the context of air pollution epidemiology

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  • A. Lee
  • A. Szpiro
  • S.Y. Kim
  • L. Sheppard

Abstract

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Suggested Citation

  • A. Lee & A. Szpiro & S.Y. Kim & L. Sheppard, 2015. "Impact of preferential sampling on exposure prediction and health effect inference in the context of air pollution epidemiology," Environmetrics, John Wiley & Sons, Ltd., vol. 26(4), pages 255-267, June.
    • Handle: RePEc:wly:envmet:v:26:y:2015:i:4:p:255-267
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    Cited by:

    1. Roman A. Jandarov & Lianne A. Sheppard & Paul D. Sampson & Adam A. Szpiro, 2017. "A novel principal component analysis for spatially misaligned multivariate air pollution data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 3-28, January.
    2. Kyung-Duk Min & Ho-Jang Kwon & KyooSang Kim & Sun-Young Kim, 2017. "Air Pollution Monitoring Design for Epidemiological Application in a Densely Populated City," IJERPH, MDPI, vol. 14(7), pages 1-12, June.
    3. Lucia Paci & Alan E. Gelfand & and María Asunción Beamonte & Pilar Gargallo & Manuel Salvador, 2020. "Spatial hedonic modelling adjusted for preferential sampling," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 169-192, January.
    4. Duncan Lee & Chris Robertson & Colin Ramsay & Kate Pyper, 2020. "Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution," Environmetrics, John Wiley & Sons, Ltd., vol. 31(8), December.
    5. Brian Conroy & Lance A. Waller & Ian D. Buller & Gregory M. Hacker & James R. Tucker & Mark G. Novak, 2023. "A Shared Latent Process Model to Correct for Preferential Sampling in Disease Surveillance Systems," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(3), pages 483-501, September.

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