Source:http://linkedlifedata.com/resource/pubmed/id/10784240
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
2000-6-8
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pubmed:abstractText |
In this paper, we describe an exact method for estimating a common relative risk across different epidemiologic study designs. The types of studies allowed by the method include case-control studies, follow-up studies with an internal comparison group, and follow-up studies with an external comparison group. Because the method is exact, sparseness of individual studies is not an issue. Those wishing to perform a meta-analysis of case-control studies and follow-up studies in which both the exposure and outcome are rare will find the method particularly useful. To allow one to perform the computations efficiently, we present a partial polynomial multiplication algorithm. We also describe a public-domain computer program that performs the necessary calculations.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
May
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pubmed:issn |
1044-3983
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
11
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
255-60
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pubmed:dateRevised |
2007-11-15
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pubmed:meshHeading | |
pubmed:year |
2000
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pubmed:articleTitle |
An exact method for meta-analysis of case-control and follow-up studies.
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pubmed:affiliation |
Department of Medicine, Duke University Medical Center, Durham, NC, USA.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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