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Jeffrey S Gift

Showing results (1-10 of 14) with videos related to

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Risk 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 Gift
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 and Applied Pharmacology|November 2, 2010
Introduction to benchmark dose methods and U.S. EPA's benchmark dose software (BMDS) version 2.1.1J Allen Davis, Jeffrey S Gift, Q Jay Zhao
Regulatory Toxicology and Pharmacology : RTP|April 29, 2008
Health assessment of phosgene: approaches for derivation of reference concentrationJeffrey S Gift, Robert McGaughy, Dharm V Singh, et al.
Environmental Health Perspectives|September 19, 2013
Scientific considerations for evaluating cancer bioassays conducted by the Ramazzini InstituteJeffrey S Gift, Jane C Caldwell, Jennifer Jinot, et al.
Regulatory Toxicology and Pharmacology : RTP|May 5, 2005
Analyses of neurobehavioral screening data: benchmark dose estimationYiliang Zhu, Zhihong Jia, Wei Wang, et al.
Environment International|July 3, 2020
Model averaging methods for the evaluation of dose-response model uncertainty when assessing the suitability of studies for estimating riskWilliam Mendez, Kan Shao, Janice S Lee, et al.
Toxicology and Applied Pharmacology|November 2, 2010
Approaches to cancer assessment in EPA's Integrated Risk Information SystemMartin W Gehlhaus, Jeffrey S Gift, Karen A Hogan, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis|July 1, 2020
Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose-Response UncertaintyMatthew W Wheeler, Todd Blessinger, Kan Shao, et al.
Environment International|September 24, 2020
Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methodsBruce Allen, Kan Shao, Kevin Hobbie, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Risk 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 Gift
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 and Applied Pharmacology|November 2, 2010
Introduction to benchmark dose methods and U.S. EPA's benchmark dose software (BMDS) version 2.1.1J Allen Davis, Jeffrey S Gift, Q Jay Zhao
Regulatory Toxicology and Pharmacology : RTP|April 29, 2008
Health assessment of phosgene: approaches for derivation of reference concentrationJeffrey S Gift, Robert McGaughy, Dharm V Singh, et al.
Environmental Health Perspectives|September 19, 2013
Scientific considerations for evaluating cancer bioassays conducted by the Ramazzini InstituteJeffrey S Gift, Jane C Caldwell, Jennifer Jinot, et al.
Regulatory Toxicology and Pharmacology : RTP|May 5, 2005
Analyses of neurobehavioral screening data: benchmark dose estimationYiliang Zhu, Zhihong Jia, Wei Wang, et al.
Environment International|July 3, 2020
Model averaging methods for the evaluation of dose-response model uncertainty when assessing the suitability of studies for estimating riskWilliam Mendez, Kan Shao, Janice S Lee, et al.
Toxicology and Applied Pharmacology|November 2, 2010
Approaches to cancer assessment in EPA's Integrated Risk Information SystemMartin W Gehlhaus, Jeffrey S Gift, Karen A Hogan, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis|July 1, 2020
Quantitative Risk Assessment: Developing a Bayesian Approach to Dichotomous Dose-Response UncertaintyMatthew W Wheeler, Todd Blessinger, Kan Shao, et al.
Environment International|September 24, 2020
Bayesian hierarchical dose-response meta-analysis of epidemiological studies: Modeling and target population prediction methodsBruce Allen, Kan Shao, Kevin Hobbie, et al.
Pageof 2