| Control of confounding in the assessment of medical technology. | |
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MedLine Citation:
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PMID: 7203778 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Separation of the effects of extraneous variables from the effects of a factor under study (often termed control of confounding) is one of the key prerequisites for validly estimating the magnitude of the study factor's effects. Because of the phenomenon of confounding by indication, confounding of effects of different factors is a common problem in the assessment of medical technology. We give several examples illustrating that the decision of whether a recorded variable is a confounder in a data-set must be decided on the basis of subject-matter knowledge and clinical judgement. There is no alternative to use of such judgement; statistical selection procedures based on significant tests, such as stepwise regression, can be particularly misleading. |
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Authors:
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S Greenland; R Neutra |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: International journal of epidemiology Volume: 9 ISSN: 0300-5771 ISO Abbreviation: Int J Epidemiol Publication Date: 1980 Dec |
Date Detail:
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Created Date: 1981-05-13 Completed Date: 1981-05-13 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 7802871 Medline TA: Int J Epidemiol Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 361-7 Citation Subset: IM |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Cesarean Section Decision Theory Female Fetal Monitoring Humans Obstetric Labor Complications / diagnosis Pregnancy Research Design* Risk Technology Assessment, Biomedical / standards* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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