Attempt of Bayesian Estimation from Left-censored Data Using the Markov Chain Monte Carlo Method: Exploring Cr(VI) Concentrations in Mineral Water Products-Reference-Cited by-同舟云学术

Attempt of Bayesian Estimation from Left-censored Data Using the Markov Chain Monte Carlo Method: Exploring Cr(VI) Concentrations in Mineral Water Products

Published:2020 Issue:4 Volume:8 Page:67-89
ISSN:2187-8404
Container-title:Food Safety
language:en
Short-container-title:Food Safety

Author:

Suzuki Yoshinari¹,Tanaka Noriko²,Akiyama Hiroshi¹

Affiliation:

1. Division of Foods, National Institute of Health Science, Tonomachi 3-25-26, Kawasaki-ku, Kawasaki, Kanagawa 210-9501, Japan

2. Department of Health Data Science Research, Healthy Aging Innovation Center, Tokyo Metropolitan Geriatric Medical Center, Sakae-cho 35-2, Itabashi-ku, Tokyo 173-0015, Japan

Publisher

Food Safety Commission, Cabinet Office

Link

https://www.jstage.jst.go.jp/article/foodsafetyfscj/8/4/8_D-20-00007/_pdf

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2. 2. Zhitkovich A. Chromium in drinking water: sources, metabolism, and cancer risks. Chem Res Toxicol. 2011; 24(10): 1617–1629. PMID:21766833, DOI:10.1021/tx200251t

3. 3. Sun H, Brocato J, Costa M. Oral chromium exposure and toxicity. Curr Environ Health Rep. 2015; 2(3): 295–303. PMID:26231506, DOI:10.1007/s40572-015-0054-z

4. 4. Zhitkovich A. Importance of chromium-DNA adducts in mutagenicity and toxicity of chromium(VI). Chem Res Toxicol. 2005; 18(1): 3–11. PMID:15651842, DOI:10.1021/tx049774+

5. 5. Food Safety Commission of Japan. Hexavalent chromium (Contaminants). Food Safety. 2019; 7(2): 56–57. PMID:31998588, DOI:10.14252/foodsafetyfscj.D-1900002

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