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Uses and limits of empirical data in measuring and modeling human lead exposure.

This paper examines the uses and limits of empirical data in evaluating measurement and modeling approaches to human lead exposure. Empirical data from experiment or observation or both have been used in studies of lead exposure. For example, experimental studies have elucidated and quantified physi...

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Detalles Bibliográficos
Autor principal: Mushak, P
Formato: Texto
Lenguaje:English
Publicado: 1998
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1533425/
https://www.ncbi.nlm.nih.gov/pubmed/9860906
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author Mushak, P
author_facet Mushak, P
author_sort Mushak, P
collection PubMed
description This paper examines the uses and limits of empirical data in evaluating measurement and modeling approaches to human lead exposure. Empirical data from experiment or observation or both have been used in studies of lead exposure. For example, experimental studies have elucidated and quantified physiologic or biokinetic parameters of lead exposure under controlled conditions. Observation, i.e., epidemiology, has been widely applied to study population exposures to lead. There is growing interest in the use of lead exposure prediction models and their evaluation before use in risk assessment. Empirical studies of lead exposure must be fully understood, especially their limits, before they are applied as "standards" or reference information for evaluation of exposure models, especially the U.S. Environmental Protection Agency's lead biokinetic model that is a focus of this article. Empirical and modeled datasets for lead exposure may not agree due to a) problems with the observational data or b) problems with the model; caution should be exercised before either a model or observational data are rejected. There are at least three sources of discordance in cases where there is lack of agreement: a) empirical data are accurate but the model is flawed; b) the model is valid but reference empirical data are inaccurate; or c) neither empirical data nor model is accurate, and each is inaccurate in different ways. This paper evaluates some of the critical empirical input to biokinetic models, especially lead bioavailability.
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spelling pubmed-15334252006-08-08 Uses and limits of empirical data in measuring and modeling human lead exposure. Mushak, P Environ Health Perspect Research Article This paper examines the uses and limits of empirical data in evaluating measurement and modeling approaches to human lead exposure. Empirical data from experiment or observation or both have been used in studies of lead exposure. For example, experimental studies have elucidated and quantified physiologic or biokinetic parameters of lead exposure under controlled conditions. Observation, i.e., epidemiology, has been widely applied to study population exposures to lead. There is growing interest in the use of lead exposure prediction models and their evaluation before use in risk assessment. Empirical studies of lead exposure must be fully understood, especially their limits, before they are applied as "standards" or reference information for evaluation of exposure models, especially the U.S. Environmental Protection Agency's lead biokinetic model that is a focus of this article. Empirical and modeled datasets for lead exposure may not agree due to a) problems with the observational data or b) problems with the model; caution should be exercised before either a model or observational data are rejected. There are at least three sources of discordance in cases where there is lack of agreement: a) empirical data are accurate but the model is flawed; b) the model is valid but reference empirical data are inaccurate; or c) neither empirical data nor model is accurate, and each is inaccurate in different ways. This paper evaluates some of the critical empirical input to biokinetic models, especially lead bioavailability. 1998-12 /pmc/articles/PMC1533425/ /pubmed/9860906 Text en
spellingShingle Research Article
Mushak, P
Uses and limits of empirical data in measuring and modeling human lead exposure.
title Uses and limits of empirical data in measuring and modeling human lead exposure.
title_full Uses and limits of empirical data in measuring and modeling human lead exposure.
title_fullStr Uses and limits of empirical data in measuring and modeling human lead exposure.
title_full_unstemmed Uses and limits of empirical data in measuring and modeling human lead exposure.
title_short Uses and limits of empirical data in measuring and modeling human lead exposure.
title_sort uses and limits of empirical data in measuring and modeling human lead exposure.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1533425/
https://www.ncbi.nlm.nih.gov/pubmed/9860906
work_keys_str_mv AT mushakp usesandlimitsofempiricaldatainmeasuringandmodelinghumanleadexposure