Literature DB >> 1626067

Statistical properties of the NOAEL.

W Leisenring1, L Ryan.   

Abstract

The use of the no observed adverse effect level (NOAEL) in setting allowable exposure levels for noncancer endpoints is a source of controversy. Based on computer simulations and empirical studies, several authors have criticized the use of the NOAEL in terms of its sensitivity to sample size and its high sampling variability from experiment to experiment. The purpose of this paper is to derive the statistical distribution of the NOAEL. Using Weibull models, we investigate the impact of the shape of the underlying dose-response curve on the distribution of the NOAEL. The results confirm previous criticisms of the NOAEL and show that average risk levels associated with the NOAEL may be substantial. These results provide additional motivation for developing alternative approaches to risk assessment.

Mesh:

Year:  1992        PMID: 1626067     DOI: 10.1016/0273-2300(92)90047-d

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  8 in total

1.  Improving the quality of statistics in regulatory ecotoxicity tests.

Authors:  P F Chapman; M Crane; J Wiles; F Noppert; E McIndoe
Journal:  Ecotoxicology       Date:  1996-06       Impact factor: 2.823

2.  Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels.

Authors:  Ly Ly Pham; Sean Watford; Prachi Pradeep; Matthew T Martin; Russell Thomas; Richard Judson; R Woodrow Setzer; Katie Paul Friedman
Journal:  Comput Toxicol       Date:  2020-08-01

Review 3.  The road to embryologically based dose-response models.

Authors:  R J Kavlock; R W Setzer
Journal:  Environ Health Perspect       Date:  1996-03       Impact factor: 9.031

Review 4.  Food additives in childhood: a review on consumption and health consequences.

Authors:  Mariana Vieira Dos Santos Kraemer; Ana Carolina Fernandes; Maria Cecília Cury Chaddad; Paula Lazzarin Uggioni; Vanessa Mello Rodrigues; Greyce Luci Bernardo; Rossana Pacheco da Costa Proença
Journal:  Rev Saude Publica       Date:  2022-05-06       Impact factor: 2.772

5.  A signal-to-noise crossover dose as the point of departure for health risk assessment.

Authors:  Salomon Sand; Christopher J Portier; Daniel Krewski
Journal:  Environ Health Perspect       Date:  2011-08-03       Impact factor: 9.031

6.  Assessment of potential risk levels associated with U.S. Environmental Protection Agency reference values.

Authors:  Rosemary Castorina; Tracey J Woodruff
Journal:  Environ Health Perspect       Date:  2003-08       Impact factor: 9.031

7.  Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates.

Authors:  Lisa Truong; Gladys Ouedraogo; LyLy Pham; Jacques Clouzeau; Sophie Loisel-Joubert; Delphine Blanchet; Hicham Noçairi; Woodrow Setzer; Richard Judson; Chris Grulke; Kamel Mansouri; Matthew Martin
Journal:  Arch Toxicol       Date:  2017-10-27       Impact factor: 5.153

8.  Simulation-based assessment of model selection criteria during the application of benchmark dose method to quantal response data.

Authors:  Keita Yoshii; Hiroshi Nishiura; Kaoru Inoue; Takayuki Yamaguchi; Akihiko Hirose
Journal:  Theor Biol Med Model       Date:  2020-08-05       Impact factor: 2.432

  8 in total

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