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Walter W Piegorsch

Showing results (11-20 of 34) with videos related to

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Statistical Methods in Medical Research|May 30, 2017
Testing for differentially expressed genetic pathways with single-subject N-of-1 data in the presence of inter-gene correlationA Grant Schissler, Walter W Piegorsch, Yves A Lussier
Significance (Oxford, England)|February 25, 2021
From terrorism to flooding: How vulnerable is your city?Walter W Piegorsch, Rachel R McCaster, Susan L Cutter
Risk Analysis : an Official Publication of the Society for Risk Analysis|October 29, 2018
Quantal Risk Assessment Database: A Database for Exploring Patterns in Quantal Dose-Response Data in Risk Assessment and its Application to Develop Priors for Bayesian Dose-Response AnalysisMatthew W Wheeler, Walter W Piegorsch, Albert John Bailer
Environmental and Ecological Statistics|February 18, 2010
Bootstrap methods for simultaneous benchmark analysis with quantal response dataR Webster West, Daniela K Nitcheva, Walter W Piegorsch
Environmental and Ecological Statistics|February 18, 2010
Confidence limits on one-stage model parameters in benchmark risk assessmentBrooke E Buckley, Walter W Piegorsch, R Webster West
Regulatory Toxicology and Pharmacology : RTP|May 11, 2007
On use of the multistage dose-response model for assessing laboratory animal carcinogenicityDaniela K Nitcheva, Walter W Piegorsch, R Webster West
Risk Analysis : an Official Publication of the Society for Risk Analysis|May 21, 2013
Benchmark Dose Analysis via Nonparametric Regression ModelingWalter W Piegorsch, Hui Xiong, Rabi N Bhattacharya, et al.
Environmetrics|August 6, 2013
Nonparametric estimation of benchmark doses in environmental risk assessmentWalter W Piegorsch, Hui Xiong, Rabi N Bhattacharya, et al.
Journal of Biopharmaceutical Statistics|February 11, 2005
Simultaneous confidence bounds for low-dose risk assessment with nonquantal dataWalter W Piegorsch, R Webster West, Wei Pan, et al.
Advances and Applications in Statistics|July 20, 2010
Maximum likelihood estimation with binary-data regression models: small-sample and large-sample featuresRoland C Deutsch, John M Grego, Brian Habing, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Statistical Methods in Medical Research|May 30, 2017
Testing for differentially expressed genetic pathways with single-subject N-of-1 data in the presence of inter-gene correlationA Grant Schissler, Walter W Piegorsch, Yves A Lussier
Significance (Oxford, England)|February 25, 2021
From terrorism to flooding: How vulnerable is your city?Walter W Piegorsch, Rachel R McCaster, Susan L Cutter
Risk Analysis : an Official Publication of the Society for Risk Analysis|October 29, 2018
Quantal Risk Assessment Database: A Database for Exploring Patterns in Quantal Dose-Response Data in Risk Assessment and its Application to Develop Priors for Bayesian Dose-Response AnalysisMatthew W Wheeler, Walter W Piegorsch, Albert John Bailer
Environmental and Ecological Statistics|February 18, 2010
Bootstrap methods for simultaneous benchmark analysis with quantal response dataR Webster West, Daniela K Nitcheva, Walter W Piegorsch
Environmental and Ecological Statistics|February 18, 2010
Confidence limits on one-stage model parameters in benchmark risk assessmentBrooke E Buckley, Walter W Piegorsch, R Webster West
Regulatory Toxicology and Pharmacology : RTP|May 11, 2007
On use of the multistage dose-response model for assessing laboratory animal carcinogenicityDaniela K Nitcheva, Walter W Piegorsch, R Webster West
Risk Analysis : an Official Publication of the Society for Risk Analysis|May 21, 2013
Benchmark Dose Analysis via Nonparametric Regression ModelingWalter W Piegorsch, Hui Xiong, Rabi N Bhattacharya, et al.
Environmetrics|August 6, 2013
Nonparametric estimation of benchmark doses in environmental risk assessmentWalter W Piegorsch, Hui Xiong, Rabi N Bhattacharya, et al.
Journal of Biopharmaceutical Statistics|February 11, 2005
Simultaneous confidence bounds for low-dose risk assessment with nonquantal dataWalter W Piegorsch, R Webster West, Wei Pan, et al.
Advances and Applications in Statistics|July 20, 2010
Maximum likelihood estimation with binary-data regression models: small-sample and large-sample featuresRoland C Deutsch, John M Grego, Brian Habing, et al.
Pageof 4