Predicted Mercury Soil Concentrations from a Kriging Approach for Improved Human Health Risk Assessment
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- Stefanie Muff & Andrea Riebler & Leonhard Held & Håvard Rue & Philippe Saner, 2015. "Bayesian analysis of measurement error models using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 64(2), pages 231-252, February.
- Hung-Yu Lai & Zeng-Yei Hseu & Ting-Chien Chen & Bo-Ching Chen & Horng-Yuh Guo & Zueng-Sang Chen, 2010. "Health Risk-Based Assessment and Management of Heavy Metals-Contaminated Soil Sites in Taiwan," IJERPH, MDPI, vol. 7(10), pages 1-20, October.
- Muff, Stefanie & Ott, Manuela & Braun, Julia & Held, Leonhard, 2017. "Bayesian two-component measurement error modelling for survival analysis using INLA—A case study on cardiovascular disease mortality in Switzerland," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 177-193.
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- Tine Bizjak & Marco Capodiferro & Deepika Deepika & Öykü Dinçkol & Vazha Dzhedzheia & Lorena Lopez-Suarez & Ioannis Petridis & Agneta A. Runkel & Dayna R. Schultz & Branko Kontić, 2022. "Human Biomonitoring Data in Health Risk Assessments Published in Peer-Reviewed Journals between 2016 and 2021: Confronting Reality after a Preliminary Review," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
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Keywords
human biomonitoring; geostatistics; kriging; children and mothers; health risk assessment; environmental epidemiology; mercury;All these keywords.
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