Kan Shao
Cited by
Cited by
AS3MT, GSTO, and PNP polymorphisms: impact on arsenic methylation and implications for disease susceptibility
R Antonelli, K Shao, DJ Thomas, R Sams II, J Cowden
Environmental research 132, 156-167, 2014
A benchmark concentration analysis for manganese in drinking water and IQ deficits in children
SS Kullar, K Shao, C Surette, D Foucher, D Mergler, P Cormier, ...
Environment international 130, 104889, 2019
A web-based system for Bayesian benchmark dose estimation
K Shao, AJ Shapiro
Environmental health perspectives 126 (01), 017002, 2018
Beyond the RfD: broad application of a probabilistic approach to improve chemical dose–response assessments for noncancer effects
WA Chiu, DA Axelrad, C Dalaijamts, C Dockins, K Shao, AJ Shapiro, ...
Environmental health perspectives 126 (6), 067009, 2018
Metals source apportionment in farmland soil and the prediction of metal transfer in the soil-rice-human chain
M Deng, Y Zhu, K Shao, Q Zhang, G Ye, J Shen
Journal of environmental management 260, 110092, 2020
Effects of chlorothalonil, prochloraz and the combination on intestinal barrier function and glucolipid metabolism in the liver of mice
Y Wang, C Jin, D Wang, J Zhou, G Yang, K Shao, Q Wang, Y Jin
Journal of Hazardous Materials 410, 124639, 2021
Model uncertainty and Bayesian model averaged benchmark dose estimation for continuous data
K Shao, JS Gift
Risk Analysis 34 (1), 101-120, 2014
Potential uncertainty reduction in model‐averaged benchmark dose estimates informed by an additional dose study
K Shao, MJ Small
Risk Analysis: An International Journal 31 (10), 1561-1575, 2011
Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data
K Shao, Z Zhou, P Xun, SM Cohen
Toxicology 455, 152752, 2021
Health risks and source identification of dietary exposure to indicator polychlorinated biphenyls (PCBs) in Lanzhou, China
Y Kang, S Cao, F Yan, N Qin, B Wang, Y Zhang, K Shao, CA El-Maleh, ...
Environmental geochemistry and health 42, 681-692, 2020
Statistical evaluation of toxicological experimental design for Bayesian model averaged benchmark dose estimation with dichotomous data
K Shao, MJ Small
Human and Ecological Risk Assessment: An International Journal 18 (5), 1096-1119, 2012
A comparison of three methods for integrating historical information for Bayesian model averaged benchmark dose estimation
K Shao
Environmental Toxicology and Pharmacology 34 (2), 288-296, 2012
Quantitative ecotoxicity analysis for pesticide mixtures using benchmark dose methodology
G Yang, J Li, Y Wang, C Chen, H Zhao, K Shao
Ecotoxicology and Environmental Safety 159, 94-101, 2018
Is the assumption of normality or log-normality for continuous response data critical for benchmark dose estimation?
K Shao, JS Gift, RW Setzer
Toxicology and applied pharmacology 272 (3), 767-779, 2013
Estimating inorganic arsenic exposure from rice intake in Chinese Urban Population
Z Zhou, Y Kang, H Li, S Cao, J Xu, X Duan, G Yang, K Shao
Environmental pollution 263, 114397, 2020
Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methods
B Allen, K Shao, K Hobbie, W Mendez Jr, JS Lee, I Cote, I Druwe, JS Gift, ...
Environment international 145, 106111, 2020
Systematic dose-response of environmental epidemiologic studies: Dose and response pre-analysis
B Allen, K Shao, K Hobbie, W Mendez Jr, JS Lee, I Cote, I Druwe, J Gift, ...
Environment international 142, 105810, 2020
Quantile benchmark dose estimation for continuous endpoints
MW Wheeler, K Shao, AJ Bailer
Environmetrics 26 (5), 363-372, 2015
A computational system for Bayesian benchmark dose estimation of genomic data in BBMD
C Ji, A Weissmann, K Shao
Environment international 161, 107135, 2022
Bayesian hierarchical structure for quantifying population variability to inform probabilistic health risk assessments
K Shao, BC Allen, MW Wheeler
Risk Analysis 37 (10), 1865-1878, 2017
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