| Assessing the sensitivity of regression results to unmeasured confounders in observational studies. | |
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MedLine Citation:
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PMID: 9750244 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper presents a general approach for assessing the sensitivity of the point and interval estimates of the primary exposure effect in an observational study to the residual confounding effects of unmeasured variable after adjusting for measured covariates. The proposed method assumes that the true exposure effect can be represented in a regression model that includes the exposure indicator as well as the measured and unmeasured confounders. One can use the corresponding reduced model that omits the unmeasured confounder to make statistical inferences about the true exposure effect by specifying the distributions of the unmeasured confounder in the exposed and unexposed groups along with the effects of the unmeasured confounder on the outcome variable. Under certain conditions, there exists a simple algebraic relationship between the true exposure effect in the full model and the apparent exposure effect in the reduced model. One can then estimate the true exposure effect by making a simple adjustment to the point and interval estimates of the apparent exposure effect obtained from standard software or published reports. The proposed method handles both binary response and censored survival time data, accommodates any study design, and allows the unmeasured confounder to be discrete or normally distributed. We describe applications on two major medical studies. |
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Authors:
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D Y Lin; B M Psaty; R A Kronmal |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Biometrics Volume: 54 ISSN: 0006-341X ISO Abbreviation: Biometrics Publication Date: 1998 Sep |
Date Detail:
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Created Date: 1998-11-03 Completed Date: 1998-11-03 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 0370625 Medline TA: Biometrics Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 948-63 Citation Subset: IM |
Affiliation:
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Department of Biostatistics, University of Washington, Seattle 98195, USA. danyu@biostat.washington.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Appetite Depressants
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adverse effects Biometry / methods* Case-Control Studies Cohort Studies Fenfluramine / adverse effects Heart Catheterization / mortality Humans Hypertension, Pulmonary / etiology Proportional Hazards Models Prospective Studies Regression Analysis* Sensitivity and Specificity Survival Analysis |
| Grant Support | |
ID/Acronym/Agency:
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AI29168/AI/NIAID NIH HHS; CA39929/CA/NCI NIH HHS; GM47845/GM/NIGMS NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Appetite Depressants; 458-24-2/Fenfluramine |
| Comments/Corrections | |
Comment In:
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Biometrics. 1999 Dec;55(4):1316-7
[PMID:
11315091
]
Biometrics. 1999 Sep;55(3):990-1 [PMID: 11315040 ] |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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