Identification and description of the uncertainty, variability, bias and influence in quantitative structure-activity relationships (QSARs) for toxicity prediction-Reference-Cited by-同舟云学术

Identification and description of the uncertainty, variability, bias and influence in quantitative structure-activity relationships (QSARs) for toxicity prediction

Published:2019-08 Issue: Volume:106 Page:90-104
ISSN:0273-2300
Container-title:Regulatory Toxicology and Pharmacology
language:en
Short-container-title:Regulatory Toxicology and Pharmacology

Author:

Cronin Mark T.D.^ORCID,Richarz Andrea-Nicole,Schultz Terry W.

Publisher

Elsevier BV

Subject

Toxicology,General Medicine

Reference62 articles.

1. Cognitive biases and decision support systems development: a design science approach;Arnott;Inf. Syst. J.,2006

2. The challenge of using read-across within the EU REACH regulatory framework; how much uncertainty is too much? Dipropylene glycol methyl ether acetate, an exemplary case study;Ball;Regul. Toxicol. Pharmacol.,2014

3. Toward good read-across practice (GRAP) guidance;Ball;ALTEX,2016

4. Computational modelling for decision-making: where, why, what, who and how;Calder;R. Soc. Open Sci.,2018

5. A unified probabilistic framework for dose–response assessment of human health effects;Chiu;Environ. Health Perspect.,2015

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