Paul D. Sampson
Affiliations: | University of Washington, Seattle, Seattle, WA |
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"Paul Sampson"Children
Sign in to add trainee| Doris Damian | grad student | 2002 | University of Washington |
| Tamre P. Cardoso | grad student | 2004 | University of Washington |
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Publications
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| Loftus C, Afsharinejad Z, Sampson P, et al. (2019) Estimated time-varying exposures to air emissions from animal feeding operations and childhood asthma. International Journal of Hygiene and Environmental Health |
| Wang M, Aaron CP, Madrigano J, et al. (2019) Association Between Long-term Exposure to Ambient Air Pollution and Change in Quantitatively Assessed Emphysema and Lung Function. Jama. 322: 546-556 |
| Jandarov RA, Sheppard LA, Sampson PD, et al. (2017) A novel principal component analysis for spatially misaligned multivariate air pollution data. Journal of the Royal Statistical Society. Series C, Applied Statistics. 66: 3-28 |
| Kim SY, Olives C, Sheppard L, et al. (2016) Historical Prediction Modeling Approach for Estimating Long-Term Concentrations of PM2.5 in Cohort Studies before the 1999 Implementation of Widespread Monitoring. Environmental Health Perspectives |
| Kaufman JD, Adar SD, Barr RG, et al. (2016) Association between air pollution and coronary artery calcification within six metropolitan areas in the USA (the Multi-Ethnic Study of Atherosclerosis and Air Pollution): a longitudinal cohort study. Lancet (London, England) |
| 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 |
| Wang M, Sampson PD, Hu J, et al. (2016) Combining Land-Use Regression and Chemical Transport Modeling in a Spatio-temporal Geostatistical Model for Ozone and PM2.5. Environmental Science & Technology |
| Xu W, Riley EA, Austin E, et al. (2016) Use of mobile and passive badge air monitoring data for NOX and ozone air pollution spatial exposure prediction models. Journal of Exposure Science & Environmental Epidemiology |
| Young MT, Bechle MJ, Sampson PD, et al. (2016) Satellite-Based NO2 and Model Validation in a National Prediction Model Based on Universal Kriging and Land-Use Regression. Environmental Science & Technology |
| Wang M, Keller JP, Adar SD, et al. (2015) Development of Long-term Spatiotemporal Models for Ambient Ozone in Six Metropolitan regions of the United States: The MESA Air Study. Atmospheric Environment (Oxford, England : 1994). 123: 79-87 |