Silas Bergen, Ph.D.
Affiliations: | 2014 | Biostatistics - Public Health | University of Washington, Seattle, Seattle, WA |
Area:
Biostatistics Biology, EpidemiologyGoogle:
"Silas Bergen"Parents
Sign in to add mentor| Adam A. Szpiro | grad student | 2014 | University of Washington | |
| (Spatial measurement error methods in air pollution epidemiology.) | ||||
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Publications
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| Bergen S, Sheppard L, Kaufman JD, et al. (2016) Multipollutant measurement error in air pollution epidemiology studies arising from predicting exposures with penalized regression splines. Journal of the Royal Statistical Society. Series C, Applied Statistics. 65: 731-753 |
| Kim SY, Sheppard L, Bergen S, et al. (2016) Prediction of fine particulate matter chemical components with a spatio-temporal model for the Multi-Ethnic Study of Atherosclerosis cohort. Journal of Exposure Science & Environmental Epidemiology |
| Bergen S, Sheppard L, Kaufman JD, et al. (2016) Multipollutant measurement error in air pollution epidemiology studies arising from predicting exposures with penalized regression splines Journal of the Royal Statistical Society. Series C: Applied Statistics |
| Chan SH, Van Hee VC, Bergen S, et al. (2015) Long-Term Air Pollution Exposure and Blood Pressure in the Sister Study. Environmental Health Perspectives |
| Bergen S, Szpiro AA. (2015) Mitigating the impact of measurement error when using penalized regression to model exposure in two-stage air pollution epidemiology studies Environmental and Ecological Statistics. 22: 601-631 |
| Kim SY, Sheppard L, Kaufman JD, et al. (2014) Individual-level concentrations of fine particulate matter chemical components and subclinical atherosclerosis: a cross-sectional analysis based on 2 advanced exposure prediction models in the multi-ethnic study of atherosclerosis. American Journal of Epidemiology. 180: 718-28 |
| Olives* C, Bergen S, Paciorek C, et al. (2014) Correcting for Spatial Measurement Error in Air Pollution Cohort Studies Isee Conference Abstracts. 2014: 2870 |
| Sampson PD, Richards M, Szpiro AA, et al. (2013) A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2.5 concentrations in epidemiology. Atmospheric Environment (Oxford, England : 1994). 75: 383-392 |
| Bergen S, Sheppard L, Sampson PD, et al. (2013) A national prediction model for PM2.5 component exposures and measurement error-corrected health effect inference. Environmental Health Perspectives. 121: 1017-25 |
| Vedal S, Kim S, Miller K, et al. (2012) S-112 Epidemiology. 23: 1 |