Metamodels of bias in Cox proportional-hazards and logistic regressions with heteroscedastic measurement error under group-level exposure assessment.
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| Title: | Metamodels of bias in Cox proportional-hazards and logistic regressions with heteroscedastic measurement error under group-level exposure assessment. |
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| Authors: | BURSTYN, I.1 Igor.Burstyn@ualberta.ca, KIM, H.-M.1, CHERRY, N.1, YASUI, Y.1 |
| Source: | Annals of Occupational Hygiene. Apr2006, Vol. 50 Issue 3, p271-279. 9p. |
| Subjects: | Epidemiology, Employees, Health risk assessment, Logistic regression analysis, Threshold limit values (Industrial toxicology), Simulation methods & models |
| Abstract: | In occupational epidemiology, group-based exposure assessment entails estimating the average exposure level in a group of workers and assigning the average to all members of the group. The assigned exposure values can be used in epidemiological analyses and have been shown to produce virtually unbiased relative-risk estimates in many situations. Although the group-based exposure assessment continues to be used widely, it is unclear whether it produces unbiased relative-risk estimates in all circumstance, specifically in Cox proportional-hazards and logistic regressions when between-worker variance is not constant but proportional to the true group mean. This question is important because (i) between-worker variance has been shown to differ among exposure groups in occupational epidemiological studies and (ii) recent theoretical work has suggested that bias may exist in such situations. We conducted computer simulations of occupational epidemiological studies to address this question and analysed simulation results using ‘metamodelling’. The results indicate that small-to-negligible bias can be expected to result from heteroscedastic between-worker variance. Cox proportional-hazards models can produce attenuated risk estimates, while logistic regression may result in overestimation of risk gradient. Bias caused by ignoring the heteroscedastic measurement error is unlikely to be large enough to alter the conclusion about the direction of exposure-disease association in occupational epidemiology. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Occupational Hygiene is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 20508833 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Metamodels of bias in Cox proportional-hazards and logistic regressions with heteroscedastic measurement error under group-level exposure assessment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22BURSTYN%2C+I%2E%22">BURSTYN, I.</searchLink><relatesTo>1</relatesTo><i> Igor.Burstyn@ualberta.ca</i><br /><searchLink fieldCode="AR" term="%22KIM%2C+H%2E-M%2E%22">KIM, H.-M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22CHERRY%2C+N%2E%22">CHERRY, N.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22YASUI%2C+Y%2E%22">YASUI, Y.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Occupational+Hygiene%22">Annals of Occupational Hygiene</searchLink>. Apr2006, Vol. 50 Issue 3, p271-279. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22Employees%22">Employees</searchLink><br /><searchLink fieldCode="DE" term="%22Health+risk+assessment%22">Health risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Threshold+limit+values+%28Industrial+toxicology%29%22">Threshold limit values (Industrial toxicology)</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In occupational epidemiology, group-based exposure assessment entails estimating the average exposure level in a group of workers and assigning the average to all members of the group. The assigned exposure values can be used in epidemiological analyses and have been shown to produce virtually unbiased relative-risk estimates in many situations. Although the group-based exposure assessment continues to be used widely, it is unclear whether it produces unbiased relative-risk estimates in all circumstance, specifically in Cox proportional-hazards and logistic regressions when between-worker variance is not constant but proportional to the true group mean. This question is important because (i) between-worker variance has been shown to differ among exposure groups in occupational epidemiological studies and (ii) recent theoretical work has suggested that bias may exist in such situations. We conducted computer simulations of occupational epidemiological studies to address this question and analysed simulation results using ‘metamodelling’. The results indicate that small-to-negligible bias can be expected to result from heteroscedastic between-worker variance. Cox proportional-hazards models can produce attenuated risk estimates, while logistic regression may result in overestimation of risk gradient. Bias caused by ignoring the heteroscedastic measurement error is unlikely to be large enough to alter the conclusion about the direction of exposure-disease association in occupational epidemiology. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Occupational Hygiene is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/annhyg/mei073 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 271 Subjects: – SubjectFull: Epidemiology Type: general – SubjectFull: Employees Type: general – SubjectFull: Health risk assessment Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Threshold limit values (Industrial toxicology) Type: general – SubjectFull: Simulation methods & models Type: general Titles: – TitleFull: Metamodels of bias in Cox proportional-hazards and logistic regressions with heteroscedastic measurement error under group-level exposure assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: BURSTYN, I. – PersonEntity: Name: NameFull: KIM, H.-M. – PersonEntity: Name: NameFull: CHERRY, N. – PersonEntity: Name: NameFull: YASUI, Y. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2006 Type: published Y: 2006 Identifiers: – Type: issn-print Value: 00034878 Numbering: – Type: volume Value: 50 – Type: issue Value: 3 Titles: – TitleFull: Annals of Occupational Hygiene Type: main |
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