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Chemical Research in Toxicology|July 26, 2023
The Effect of Historical Data-Based Informative Prior on Benchmark Dose Estimation of ToxicogenomicsChao Ji, Kan ShaoEnvironment International|February 12, 2022
A computational system for Bayesian benchmark dose estimation of genomic data in BBMDChao Ji, Andrew Weissmann, Kan ShaoEnvironmental Science & Technology|October 24, 2022
Using Prior Toxicological Data to Support Dose-Response Assessment─Identifying Plausible Prior Distributions for Dichotomous Dose-Response ModelsKan Shao, Chao Ji, Weihsueh A ChiuEnvironmental Health Perspectives|December 29, 2023
Quantitative Integration of Mode of Action Information in Dose-Response Modeling and POD Estimation for Nonmutagenic Carcinogens: A Case Study of TCDDQiran Chen, Yun Zhou, Chao Ji, et al.Environmental Toxicology and Pharmacology|June 1, 2012
A comparison of three methods for integrating historical information for Bayesian model averaged benchmark dose estimationKan ShaoRisk Analysis : an Official Publication of the Society for Risk Analysis|March 11, 2011
Potential uncertainty reduction in model-averaged benchmark dose estimates informed by an additional dose studyKan Shao, Mitchell J SmallRisk Analysis : an Official Publication of the Society for Risk Analysis|June 14, 2013
Model Uncertainty and Bayesian Model Averaged Benchmark Dose Estimation for Continuous DataKan Shao, Jeffrey S GiftEnvironmental Health Perspectives|January 13, 2018
A Web-Based System for Bayesian Benchmark Dose EstimationKan Shao, Andrew J ShapiroToxicology Reports|July 31, 2019
Quantifying association between liver tumor incidence and early-stage liver weight increase - An NTP data analysisKan Shao, Qiran Chen, Zemin WangEnvironment International|May 14, 2023
Beyond the cancer slope factor: Broad application of Bayesian and probabilistic approaches for cancer dose-response assessmentSuji Jang, Kan Shao, Weihsueh A ChiuPageof 50