The prediction of the probability of death or injury following the
inhalation of a toxic gas or vapour is used in risk analysis. The
proportion of a population responding for a given endpoint (e.g.
lethality) can be related to the received dose using a probit model.
Some of the coefficients in the probit equations are based on data
from animal testing. Generally, experimental test animals are bred
to exhibit low variability. Animal variability in response to toxic
exposures may not adequately represent human variability in response
to toxic exposures to the tested chemical. It is suggested that some
independently established measure of human variability be used in
the formulation of the probit equation constants rather than those
that arise solely from the fitting of the animal data.
%0 Journal Article
%1 Schubach:1997
%A Schubach, Simon
%D 1997
%J Journal of Loss Prevention in the Process Industries
%K Acute equations, human probit toxicity, variability
%N 5-6
%P 309--315
%R http://dx.doi.org/10.1016/S0950-4230(97)00016-8
%T A measure of human sensitivity in acute inhalation toxicity
%U http://www.sciencedirect.com/science/article/B6TGH-3SNMPR9-3/2/6dd1671443f594562fd58b8b849380af
%V 10
%X The prediction of the probability of death or injury following the
inhalation of a toxic gas or vapour is used in risk analysis. The
proportion of a population responding for a given endpoint (e.g.
lethality) can be related to the received dose using a probit model.
Some of the coefficients in the probit equations are based on data
from animal testing. Generally, experimental test animals are bred
to exhibit low variability. Animal variability in response to toxic
exposures may not adequately represent human variability in response
to toxic exposures to the tested chemical. It is suggested that some
independently established measure of human variability be used in
the formulation of the probit equation constants rather than those
that arise solely from the fitting of the animal data.
@article{Schubach:1997,
abstract = {The prediction of the probability of death or injury following the
inhalation of a toxic gas or vapour is used in risk analysis. The
proportion of a population responding for a given endpoint (e.g.
lethality) can be related to the received dose using a probit model.
Some of the coefficients in the probit equations are based on data
from animal testing. Generally, experimental test animals are bred
to exhibit low variability. Animal variability in response to toxic
exposures may not adequately represent human variability in response
to toxic exposures to the tested chemical. It is suggested that some
independently established measure of human variability be used in
the formulation of the probit equation constants rather than those
that arise solely from the fitting of the animal data.},
added-at = {2010-01-05T23:12:10.000+0100},
author = {Schubach, Simon},
biburl = {https://www.bibsonomy.org/bibtex/241c7da4d7c8257ab901d4dfc721c53d5/sjp},
doi = {http://dx.doi.org/10.1016/S0950-4230(97)00016-8},
interhash = {aa10be7090c1d18ed41949391da74a42},
intrahash = {41c7da4d7c8257ab901d4dfc721c53d5},
issn = {0950-4230},
journal = {Journal of Loss Prevention in the Process Industries},
keywords = {Acute equations, human probit toxicity, variability},
number = {5-6},
pages = {309--315},
timestamp = {2010-01-19T17:39:44.000+0100},
title = {A measure of human sensitivity in acute inhalation toxicity},
url = {http://www.sciencedirect.com/science/article/B6TGH-3SNMPR9-3/2/6dd1671443f594562fd58b8b849380af},
volume = 10,
year = 1997
}