Categorical Regression of Toxicity Data: A Case Study Using Aldicarb

Categorical regression is a mathematical tool that can be adapted to estimate potential health risk from chemical exposures. By regressing ordered categories of toxic severity or pathological staging on exposure dose, this method can estimate the likelihood of observing any of the categories of seve...

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Bibliographic Details
Published in:	Regulatory toxicology and pharmacology Vol. 25; no. 2; pp. 121 - 129
Main Authors:	Dourson, Michael L, Teuschler, Linda K, Durkin, Patrick R, Stiteler, William M
Format:	Journal Article
Language:	English
Published:	San Diego, CA Elsevier Inc 01-04-1997 Elsevier
Subjects:	ALDICARB Aldicarb - adverse effects ALDICARBE Animals Biological and medical sciences Humans Medical sciences Neurotoxins - toxicity Pesticides, fertilizers and other agrochemicals toxicology Rats Regression (Psychology) Risk Assessment Statistics as Topic TOXICIDAD TOXICITE Toxicology Human Evaluation Insecticide Toxicity Chemical compound Pesticides Risk Regression analysis Categorical data Investigation method Mathematical analysis Aldicarb Animal Carbamate
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