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Risk Analysis : an Official Publication of the Society for Risk Analysis
|
November 3, 2024
Benchmark dose modeling for epidemiological dose-response assessment using case-control studies
Francesco De Pretis, Yun Zhou, Kan Shao
Environmental Science & Technology
|
October 24, 2022
Using Prior Toxicological Data to Support Dose-Response Assessment─Identifying Plausible Prior Distributions for Dichotomous Dose-Response Models
Kan Shao, Chao Ji, Weihsueh A Chiu
International Journal of Biological Macromolecules
|
April 5, 2023
Chitosan, alginate, hyaluronic acid and other novel multifunctional hydrogel dressings for wound healing: A review
Ningning Yuan, Kan Shao, Shan Huang, et al.
Inquiry : a Journal of Medical Care Organization, Provision and Financing
|
April 27, 2022
Simplified, Low-Cost Method on Glucose Tolerance Testing in High-Risk Group of Diabetes, Explored by Simulation of Diagnosis
Kan Shao, Gong Chen, Cheng Chen, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
December 30, 2016
Bayesian Hierarchical Structure for Quantifying Population Variability to Inform Probabilistic Health Risk Assessments
Kan Shao, Bruce C Allen, Matthew W Wheeler
Toxicology and Applied Pharmacology
|
August 20, 2013
Is the assumption of normality or log-normality for continuous response data critical for benchmark dose estimation?
Kan Shao, Jeffrey S Gift, R Woodrow Setzer
Toxicology
|
March 20, 2021
Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data
Kan Shao, Zheng Zhou, Pengcheng Xun, et al.
Regulatory Toxicology and Pharmacology : RTP
|
October 22, 2023
Margin of exposure to free formaldehyde in personal care products containing formaldehyde-donor preservatives: Evidence for consumer safety
Sang-Tae Kim, Kan Shao, Christine Oleschkewitz, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
August 29, 2023
A mode of action-based probabilistic framework of dose-response assessment for nonmutagenic liver carcinogens: a case study of PCB-126
Yun Zhou, Qiran Chen, James E Klaunig, et al.
Toxicology
|
March 16, 2022
'Corrigendum to: "Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data" [Toxicology 455 (2021) 152752]'
Kan Shao, Zheng Zhou, Pengcheng Xun, et al.
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of 7
Search research articles
Search
Showing results (11-20 of 67) with videos related to
Sort By:
Page
of 7
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
November 3, 2024
Benchmark dose modeling for epidemiological dose-response assessment using case-control studies
Francesco De Pretis, Yun Zhou, Kan Shao
Environmental Science & Technology
|
October 24, 2022
Using Prior Toxicological Data to Support Dose-Response Assessment─Identifying Plausible Prior Distributions for Dichotomous Dose-Response Models
Kan Shao, Chao Ji, Weihsueh A Chiu
International Journal of Biological Macromolecules
|
April 5, 2023
Chitosan, alginate, hyaluronic acid and other novel multifunctional hydrogel dressings for wound healing: A review
Ningning Yuan, Kan Shao, Shan Huang, et al.
Inquiry : a Journal of Medical Care Organization, Provision and Financing
|
April 27, 2022
Simplified, Low-Cost Method on Glucose Tolerance Testing in High-Risk Group of Diabetes, Explored by Simulation of Diagnosis
Kan Shao, Gong Chen, Cheng Chen, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
December 30, 2016
Bayesian Hierarchical Structure for Quantifying Population Variability to Inform Probabilistic Health Risk Assessments
Kan Shao, Bruce C Allen, Matthew W Wheeler
Toxicology and Applied Pharmacology
|
August 20, 2013
Is the assumption of normality or log-normality for continuous response data critical for benchmark dose estimation?
Kan Shao, Jeffrey S Gift, R Woodrow Setzer
Toxicology
|
March 20, 2021
Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data
Kan Shao, Zheng Zhou, Pengcheng Xun, et al.
Regulatory Toxicology and Pharmacology : RTP
|
October 22, 2023
Margin of exposure to free formaldehyde in personal care products containing formaldehyde-donor preservatives: Evidence for consumer safety
Sang-Tae Kim, Kan Shao, Christine Oleschkewitz, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology
|
August 29, 2023
A mode of action-based probabilistic framework of dose-response assessment for nonmutagenic liver carcinogens: a case study of PCB-126
Yun Zhou, Qiran Chen, James E Klaunig, et al.
Toxicology
|
March 16, 2022
'Corrigendum to: "Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data" [Toxicology 455 (2021) 152752]'
Kan Shao, Zheng Zhou, Pengcheng Xun, et al.
Page
of 7