Sensitivity Analysis, Dominant Factors, and Robustness of the ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5 Occupational Exposure Models
Occupational exposure modeling is widely used in the context of the E.U. regulation on the registration, evaluation, authorization, and restriction of chemicals (REACH). First tier tools, such as European Centre for Ecotoxicology and TOxicology of Chemicals (ECETOC) targeted risk assessment (TRA) or...
Gespeichert in:
Veröffentlicht in: | Risk analysis 2015-02, Vol.35 (2), p.211-225 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 225 |
---|---|
container_issue | 2 |
container_start_page | 211 |
container_title | Risk analysis |
container_volume | 35 |
creator | Riedmann, R. A. Gasic, B. Vernez, D. |
description | Occupational exposure modeling is widely used in the context of the E.U. regulation on the registration, evaluation, authorization, and restriction of chemicals (REACH). First tier tools, such as European Centre for Ecotoxicology and TOxicology of Chemicals (ECETOC) targeted risk assessment (TRA) or Stoffenmanager, are used to screen a wide range of substances. Those of concern are investigated further using second tier tools, e.g., Advanced REACH Tool (ART). Local sensitivity analysis (SA) methods are used here to determine dominant factors for three models commonly used within the REACH framework: ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5. Based on the results of the SA, the robustness of the models is assessed.
For ECETOC, the process category (PROC) is the most important factor. A failure to identify the correct PROC has severe consequences for the exposure estimate. Stoffenmanager is the most balanced model and decision making uncertainties in one modifying factor are less severe in Stoffenmanager. ART requires a careful evaluation of the decisions in the source compartment since it constitutes ∼75% of the total exposure range, which corresponds to an exposure estimate of 20–22 orders of magnitude.
Our results indicate that there is a trade off between accuracy and precision of the models. Previous studies suggested that ART may lead to more accurate results in well‐documented exposure situations. However, the choice of the adequate model should ultimately be determined by the quality of the available exposure data: if the practitioner is uncertain concerning two or more decisions in the entry parameters, Stoffenmanager may be more robust than ART. |
doi_str_mv | 10.1111/risa.12286 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1677936913</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1668258037</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5646-dbdcb6e7b195b5f67edef76e45d25d7b91e5549961d21b4cc9c44a596056fa6b3</originalsourceid><addsrcrecordid>eNqNkU9v0zAYhy0EYmVw4QMgS1wQWort-E98jEo3Ng0qtUUcLcdxwCOJi-2M9SPwrUmXbQcOaL68kvX8ntfyD4DXGM3xeD4EF_UcE1LwJ2CGWS4zLgl9CmaICJLRPCdH4EWMVwhhhJh4Do4I45hjWczAn43to0vu2qU9LHvd7qOLJ_Cj71yv-wRPtUk-jDe6r-HaV0NMvY0R-gamHxYuF8vtagG36xJe5ydwk3zT2L7Tvf5uA6RzNgXL9RbiOYMrY4adTs6Pi-DyZufjECz87GvbxpfgWaPbaF_dzWPw9XS5XXzKLldn54vyMjOMU57VVW0qbkWFJatYw4WtbSO4pawmrBaVxJYxKiXHNcEVNUYaSjWTHDHeaF7lx-Dd5N0F_2uwManORWPbVvfWD1FhLoTMucT5Y1BSCM7kY1BeEFagXIzo23_QKz-E8UduKcrGt5OD8P1EmeBjDLZRu-A6HfYKI3WoXR1qV7e1j_CbO-VQdbZ-QO97HgE8Ab9da_f_Uan1-aa8l2ZTxsVkbx4yOvxUXOSCqW9fzpTkkqKLzYWi-V8OMMPM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1664599623</pqid></control><display><type>article</type><title>Sensitivity Analysis, Dominant Factors, and Robustness of the ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5 Occupational Exposure Models</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Business Source Complete</source><creator>Riedmann, R. A. ; Gasic, B. ; Vernez, D.</creator><creatorcontrib>Riedmann, R. A. ; Gasic, B. ; Vernez, D.</creatorcontrib><description>Occupational exposure modeling is widely used in the context of the E.U. regulation on the registration, evaluation, authorization, and restriction of chemicals (REACH). First tier tools, such as European Centre for Ecotoxicology and TOxicology of Chemicals (ECETOC) targeted risk assessment (TRA) or Stoffenmanager, are used to screen a wide range of substances. Those of concern are investigated further using second tier tools, e.g., Advanced REACH Tool (ART). Local sensitivity analysis (SA) methods are used here to determine dominant factors for three models commonly used within the REACH framework: ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5. Based on the results of the SA, the robustness of the models is assessed.
For ECETOC, the process category (PROC) is the most important factor. A failure to identify the correct PROC has severe consequences for the exposure estimate. Stoffenmanager is the most balanced model and decision making uncertainties in one modifying factor are less severe in Stoffenmanager. ART requires a careful evaluation of the decisions in the source compartment since it constitutes ∼75% of the total exposure range, which corresponds to an exposure estimate of 20–22 orders of magnitude.
Our results indicate that there is a trade off between accuracy and precision of the models. Previous studies suggested that ART may lead to more accurate results in well‐documented exposure situations. However, the choice of the adequate model should ultimately be determined by the quality of the available exposure data: if the practitioner is uncertain concerning two or more decisions in the entry parameters, Stoffenmanager may be more robust than ART.</description><identifier>ISSN: 0272-4332</identifier><identifier>EISSN: 1539-6924</identifier><identifier>DOI: 10.1111/risa.12286</identifier><identifier>PMID: 25616198</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Advanced REACH tool (ART) ; Algorithms ; Chemical contaminants ; Chemicals ; Decision Support Techniques ; ECETOC ; Ecotoxicology ; Ecotoxicology - statistics & numerical data ; Estimates ; Europe ; European Union ; Evaluation ; Exposure ; Failure ; Hazardous Substances - toxicity ; Health risk assessment ; Humans ; Mathematical models ; Models, Biological ; Models, Statistical ; Occupational Exposure - adverse effects ; Occupational Exposure - statistics & numerical data ; occupational exposure models ; Occupational health ; Occupational safety ; Regulated industries ; Regulation ; Risk ; Risk analysis ; Risk assessment ; Risk Assessment - statistics & numerical data ; Robustness ; Sensitivity analysis ; Stoffenmanager ; Studies ; Toxicology</subject><ispartof>Risk analysis, 2015-02, Vol.35 (2), p.211-225</ispartof><rights>2015 Society for Risk Analysis</rights><rights>2015 Society for Risk Analysis.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5646-dbdcb6e7b195b5f67edef76e45d25d7b91e5549961d21b4cc9c44a596056fa6b3</citedby><cites>FETCH-LOGICAL-c5646-dbdcb6e7b195b5f67edef76e45d25d7b91e5549961d21b4cc9c44a596056fa6b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Frisa.12286$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Frisa.12286$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25616198$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Riedmann, R. A.</creatorcontrib><creatorcontrib>Gasic, B.</creatorcontrib><creatorcontrib>Vernez, D.</creatorcontrib><title>Sensitivity Analysis, Dominant Factors, and Robustness of the ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5 Occupational Exposure Models</title><title>Risk analysis</title><addtitle>Risk Analysis</addtitle><description>Occupational exposure modeling is widely used in the context of the E.U. regulation on the registration, evaluation, authorization, and restriction of chemicals (REACH). First tier tools, such as European Centre for Ecotoxicology and TOxicology of Chemicals (ECETOC) targeted risk assessment (TRA) or Stoffenmanager, are used to screen a wide range of substances. Those of concern are investigated further using second tier tools, e.g., Advanced REACH Tool (ART). Local sensitivity analysis (SA) methods are used here to determine dominant factors for three models commonly used within the REACH framework: ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5. Based on the results of the SA, the robustness of the models is assessed.
For ECETOC, the process category (PROC) is the most important factor. A failure to identify the correct PROC has severe consequences for the exposure estimate. Stoffenmanager is the most balanced model and decision making uncertainties in one modifying factor are less severe in Stoffenmanager. ART requires a careful evaluation of the decisions in the source compartment since it constitutes ∼75% of the total exposure range, which corresponds to an exposure estimate of 20–22 orders of magnitude.
Our results indicate that there is a trade off between accuracy and precision of the models. Previous studies suggested that ART may lead to more accurate results in well‐documented exposure situations. However, the choice of the adequate model should ultimately be determined by the quality of the available exposure data: if the practitioner is uncertain concerning two or more decisions in the entry parameters, Stoffenmanager may be more robust than ART.</description><subject>Advanced REACH tool (ART)</subject><subject>Algorithms</subject><subject>Chemical contaminants</subject><subject>Chemicals</subject><subject>Decision Support Techniques</subject><subject>ECETOC</subject><subject>Ecotoxicology</subject><subject>Ecotoxicology - statistics & numerical data</subject><subject>Estimates</subject><subject>Europe</subject><subject>European Union</subject><subject>Evaluation</subject><subject>Exposure</subject><subject>Failure</subject><subject>Hazardous Substances - toxicity</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Mathematical models</subject><subject>Models, Biological</subject><subject>Models, Statistical</subject><subject>Occupational Exposure - adverse effects</subject><subject>Occupational Exposure - statistics & numerical data</subject><subject>occupational exposure models</subject><subject>Occupational health</subject><subject>Occupational safety</subject><subject>Regulated industries</subject><subject>Regulation</subject><subject>Risk</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk Assessment - statistics & numerical data</subject><subject>Robustness</subject><subject>Sensitivity analysis</subject><subject>Stoffenmanager</subject><subject>Studies</subject><subject>Toxicology</subject><issn>0272-4332</issn><issn>1539-6924</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU9v0zAYhy0EYmVw4QMgS1wQWort-E98jEo3Ng0qtUUcLcdxwCOJi-2M9SPwrUmXbQcOaL68kvX8ntfyD4DXGM3xeD4EF_UcE1LwJ2CGWS4zLgl9CmaICJLRPCdH4EWMVwhhhJh4Do4I45hjWczAn43to0vu2qU9LHvd7qOLJ_Cj71yv-wRPtUk-jDe6r-HaV0NMvY0R-gamHxYuF8vtagG36xJe5ydwk3zT2L7Tvf5uA6RzNgXL9RbiOYMrY4adTs6Pi-DyZufjECz87GvbxpfgWaPbaF_dzWPw9XS5XXzKLldn54vyMjOMU57VVW0qbkWFJatYw4WtbSO4pawmrBaVxJYxKiXHNcEVNUYaSjWTHDHeaF7lx-Dd5N0F_2uwManORWPbVvfWD1FhLoTMucT5Y1BSCM7kY1BeEFagXIzo23_QKz-E8UduKcrGt5OD8P1EmeBjDLZRu-A6HfYKI3WoXR1qV7e1j_CbO-VQdbZ-QO97HgE8Ab9da_f_Uan1-aa8l2ZTxsVkbx4yOvxUXOSCqW9fzpTkkqKLzYWi-V8OMMPM</recordid><startdate>201502</startdate><enddate>201502</enddate><creator>Riedmann, R. A.</creator><creator>Gasic, B.</creator><creator>Vernez, D.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U7</scope><scope>7U9</scope><scope>8BJ</scope><scope>8FD</scope><scope>C1K</scope><scope>FQK</scope><scope>FR3</scope><scope>H94</scope><scope>JBE</scope><scope>JQ2</scope><scope>KR7</scope><scope>M7N</scope><scope>SOI</scope><scope>7T2</scope><scope>7U1</scope><scope>7U2</scope></search><sort><creationdate>201502</creationdate><title>Sensitivity Analysis, Dominant Factors, and Robustness of the ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5 Occupational Exposure Models</title><author>Riedmann, R. A. ; Gasic, B. ; Vernez, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5646-dbdcb6e7b195b5f67edef76e45d25d7b91e5549961d21b4cc9c44a596056fa6b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Advanced REACH tool (ART)</topic><topic>Algorithms</topic><topic>Chemical contaminants</topic><topic>Chemicals</topic><topic>Decision Support Techniques</topic><topic>ECETOC</topic><topic>Ecotoxicology</topic><topic>Ecotoxicology - statistics & numerical data</topic><topic>Estimates</topic><topic>Europe</topic><topic>European Union</topic><topic>Evaluation</topic><topic>Exposure</topic><topic>Failure</topic><topic>Hazardous Substances - toxicity</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Mathematical models</topic><topic>Models, Biological</topic><topic>Models, Statistical</topic><topic>Occupational Exposure - adverse effects</topic><topic>Occupational Exposure - statistics & numerical data</topic><topic>occupational exposure models</topic><topic>Occupational health</topic><topic>Occupational safety</topic><topic>Regulated industries</topic><topic>Regulation</topic><topic>Risk</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk Assessment - statistics & numerical data</topic><topic>Robustness</topic><topic>Sensitivity analysis</topic><topic>Stoffenmanager</topic><topic>Studies</topic><topic>Toxicology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Riedmann, R. A.</creatorcontrib><creatorcontrib>Gasic, B.</creatorcontrib><creatorcontrib>Vernez, D.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Environment Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><jtitle>Risk analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Riedmann, R. A.</au><au>Gasic, B.</au><au>Vernez, D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensitivity Analysis, Dominant Factors, and Robustness of the ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5 Occupational Exposure Models</atitle><jtitle>Risk analysis</jtitle><addtitle>Risk Analysis</addtitle><date>2015-02</date><risdate>2015</risdate><volume>35</volume><issue>2</issue><spage>211</spage><epage>225</epage><pages>211-225</pages><issn>0272-4332</issn><eissn>1539-6924</eissn><abstract>Occupational exposure modeling is widely used in the context of the E.U. regulation on the registration, evaluation, authorization, and restriction of chemicals (REACH). First tier tools, such as European Centre for Ecotoxicology and TOxicology of Chemicals (ECETOC) targeted risk assessment (TRA) or Stoffenmanager, are used to screen a wide range of substances. Those of concern are investigated further using second tier tools, e.g., Advanced REACH Tool (ART). Local sensitivity analysis (SA) methods are used here to determine dominant factors for three models commonly used within the REACH framework: ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5. Based on the results of the SA, the robustness of the models is assessed.
For ECETOC, the process category (PROC) is the most important factor. A failure to identify the correct PROC has severe consequences for the exposure estimate. Stoffenmanager is the most balanced model and decision making uncertainties in one modifying factor are less severe in Stoffenmanager. ART requires a careful evaluation of the decisions in the source compartment since it constitutes ∼75% of the total exposure range, which corresponds to an exposure estimate of 20–22 orders of magnitude.
Our results indicate that there is a trade off between accuracy and precision of the models. Previous studies suggested that ART may lead to more accurate results in well‐documented exposure situations. However, the choice of the adequate model should ultimately be determined by the quality of the available exposure data: if the practitioner is uncertain concerning two or more decisions in the entry parameters, Stoffenmanager may be more robust than ART.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25616198</pmid><doi>10.1111/risa.12286</doi><tpages>15</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0272-4332 |
ispartof | Risk analysis, 2015-02, Vol.35 (2), p.211-225 |
issn | 0272-4332 1539-6924 |
language | eng |
recordid | cdi_proquest_miscellaneous_1677936913 |
source | MEDLINE; Wiley Online Library Journals Frontfile Complete; Business Source Complete |
subjects | Advanced REACH tool (ART) Algorithms Chemical contaminants Chemicals Decision Support Techniques ECETOC Ecotoxicology Ecotoxicology - statistics & numerical data Estimates Europe European Union Evaluation Exposure Failure Hazardous Substances - toxicity Health risk assessment Humans Mathematical models Models, Biological Models, Statistical Occupational Exposure - adverse effects Occupational Exposure - statistics & numerical data occupational exposure models Occupational health Occupational safety Regulated industries Regulation Risk Risk analysis Risk assessment Risk Assessment - statistics & numerical data Robustness Sensitivity analysis Stoffenmanager Studies Toxicology |
title | Sensitivity Analysis, Dominant Factors, and Robustness of the ECETOC TRA v3, Stoffenmanager 4.5, and ART 1.5 Occupational Exposure Models |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T16%3A55%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sensitivity%20Analysis,%20Dominant%20Factors,%20and%20Robustness%20of%20the%20ECETOC%20TRA%20v3,%20Stoffenmanager%204.5,%20and%20ART%201.5%20Occupational%20Exposure%20Models&rft.jtitle=Risk%20analysis&rft.au=Riedmann,%20R.%20A.&rft.date=2015-02&rft.volume=35&rft.issue=2&rft.spage=211&rft.epage=225&rft.pages=211-225&rft.issn=0272-4332&rft.eissn=1539-6924&rft_id=info:doi/10.1111/risa.12286&rft_dat=%3Cproquest_cross%3E1668258037%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1664599623&rft_id=info:pmid/25616198&rfr_iscdi=true |