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Critical Reviews in Toxicology
Volume 46, 2016 - Issue 9
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Review Articles
A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study
Katie Paul FriedmanHuman Safety, Bayer CropScience LP, Research Triangle Park, NC, USA; Correspondence[email protected]
, Sabitha PapineniHuman Health Assessment, Dow AgroSciences LLC, Indianapolis, IN, USA;
, M. Sue MartyToxicology & Environmental Research and Consulting, The Dow Chemical Company, Midland, MI, USA;
, Kun Don YiToxicology and Health Sciences, Syngenta Crop Protection LLC, Greensboro, NC, USA
, Amber K. GoetzToxicology and Health Sciences, Syngenta Crop Protection LLC, Greensboro, NC, USA
, Reza J. RasoulpourHuman Health Assessment, Dow AgroSciences LLC, Indianapolis, IN, USA;
, Pat KwiatkowskiHuman Safety, Bayer CropScience LP, Research Triangle Park, NC, USA;
, Douglas C. WolfToxicology and Health Sciences, Syngenta Crop Protection LLC, Greensboro, NC, USA
, Ann M. BlackerHuman Safety, Bayer CropScience LP, Research Triangle Park, NC, USA;
& Richard C. PefferToxicology and Health Sciences, Syngenta Crop Protection LLC, Greensboro, NC, USA
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Pages 785-833
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Received 17 Dec 2015, Accepted 21 May 2016, Published online: 27 Jun 2016
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A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study
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A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study
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