Hayashi T, Nogawa K, Watanabe Y, Kido T, Sakurai M, Nakagawa H
Toxics. 2025; 12(12.
PMID: 39771051
PMC: 11679213.
DOI: 10.3390/toxics12120836.
Daley M, Moreau M, Bronk P, Fisher J, Kofron C, Mende U
Toxicol Sci. 2024; 201(1):145-157.
PMID: 38897660
PMC: 11347779.
DOI: 10.1093/toxsci/kfae079.
Satarug S, Buha dordevic A, Yimthiang S, Vesey D, Gobe G
Toxics. 2022; 10(10).
PMID: 36287894
PMC: 9607051.
DOI: 10.3390/toxics10100614.
Selvestrel G, Lavado G, Toropova A, Toropov A, Gadaleta D, Marzo M
Int J Mol Sci. 2022; 23(12).
PMID: 35743059
PMC: 9224506.
DOI: 10.3390/ijms23126615.
Pizzo F, Gadaleta D, Benfenati E
Methods Mol Biol. 2022; 2425:241-258.
PMID: 35188636
DOI: 10.1007/978-1-0716-1960-5_11.
Dose-response evaluation of urinary cadmium and kidney injury biomarkers in Chinese residents and dietary limit standards.
Qing Y, Yang J, Zhu Y, Li Y, Zheng W, Wu M
Environ Health. 2021; 20(1):75.
PMID: 34193170
PMC: 8247151.
DOI: 10.1186/s12940-021-00760-9.
Simulation-based assessment of model selection criteria during the application of benchmark dose method to quantal response data.
Yoshii K, Nishiura H, Inoue K, Yamaguchi T, Hirose A
Theor Biol Med Model. 2020; 17(1):13.
PMID: 32753042
PMC: 7477879.
DOI: 10.1186/s12976-020-00131-w.
Toxic Responses Induced at High Doses May Affect Benchmark Doses.
Zarn J, Zurcher U, Geiser H
Dose Response. 2020; 18(2):1559325820919605.
PMID: 32341684
PMC: 7175069.
DOI: 10.1177/1559325820919605.
Safe utilization and zoning on natural selenium-rich land resources: a case study of the typical area in Enshi County, China.
Yu T, Hou W, Hou Q, Ma W, Xia X, Li Y
Environ Geochem Health. 2020; 42(9):2803-2818.
PMID: 32036508
PMC: 7903387.
DOI: 10.1007/s10653-020-00519-0.
Estimation of formaldehyde occupational exposure limit based on genetic damage in some Iranian exposed workers using benchmark dose method.
Zendehdel R, Vahabi M, Sedghi R
Environ Sci Pollut Res Int. 2018; 25(31):31183-31189.
PMID: 30187418
DOI: 10.1007/s11356-018-3077-9.
Application of the Benchmark Dose (BMD) Method to Identify Thresholds of Cadmium-Induced Renal Effects in Non-Polluted Areas in China.
Wang X, Wang Y, Feng L, Tong Y, Chen Z, Ying S
PLoS One. 2016; 11(8):e0161240.
PMID: 27537182
PMC: 4990304.
DOI: 10.1371/journal.pone.0161240.
Comparison of Points of Departure for Health Risk Assessment Based on High-Throughput Screening Data.
Sand S, Parham F, Portier C, Tice R, Krewski D
Environ Health Perspect. 2016; 125(4):623-633.
PMID: 27384688
PMC: 5381992.
DOI: 10.1289/EHP408.
Model Selection and Estimation with Quantal-Response Data in Benchmark Risk Assessment.
Pena E, Wu W, Piegorsch W, West R, An L
Risk Anal. 2016; 37(4):716-732.
PMID: 27322778
PMC: 5173468.
DOI: 10.1111/risa.12644.
Benchmark Dose for Urinary Cadmium based on a Marker of Renal Dysfunction: A Meta-Analysis.
Woo H, Chiu W, Jo S, Kim J
PLoS One. 2015; 10(5):e0126680.
PMID: 25970611
PMC: 4430293.
DOI: 10.1371/journal.pone.0126680.
Risk assessment for Thai population: benchmark dose of urinary and blood cadmium levels for renal effects by hybrid approach of inhabitants living in polluted and non-polluted areas in Thailand.
Nishijo M, Suwazono Y, Ruangyuttikarn W, Nambunmee K, Swaddiwudhipong W, Nogawa K
BMC Public Health. 2014; 14:702.
PMID: 25012790
PMC: 4227073.
DOI: 10.1186/1471-2458-14-702.
Standardizing benchmark dose calculations to improve science-based decisions in human health assessments.
Wignall J, Shapiro A, Wright F, Woodruff T, Chiu W, Guyton K
Environ Health Perspect. 2014; 122(5):499-505.
PMID: 24569956
PMC: 4014768.
DOI: 10.1289/ehp.1307539.
Application of BMD approach to identify thresholds of cadmium-induced renal effect among 35 to 55 year-old women in two cadmium polluted counties in China.
Wang Q, Hu J, Han T, Li M, Zhao H, Chen J
PLoS One. 2014; 9(2):e87817.
PMID: 24505316
PMC: 3913698.
DOI: 10.1371/journal.pone.0087817.
Information-theoretic model-averaged benchmark dose analysis in environmental risk assessment.
Piegorsch W, An L, Wickens A, West R, Pena E, Wu W
Environmetrics. 2013; 24(3):143-157.
PMID: 24039461
PMC: 3768164.
DOI: 10.1002/env.2201.
The Impact of Model Uncertainty on Benchmark Dose Estimation.
West R, Piegorsch W, Pena E, An L, Wu W, Wickens A
Environmetrics. 2013; 23(8):706-716.
PMID: 23794799
PMC: 3686319.
DOI: 10.1002/env.2180.
Benchmark Dose Analysis via Nonparametric Regression Modeling.
Piegorsch W, Xiong H, Bhattacharya R, Lin L
Risk Anal. 2013; 34(1):135-51.
PMID: 23683057
PMC: 3752015.
DOI: 10.1111/risa.12066.