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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2007-7-24
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pubmed:abstractText |
An important issue in prediction modeling of multivariate data is the measure of dependence structure. The use of Pearson's correlation as a dependence measure has several pitfalls and hence application of regression prediction models based on this correlation may not be an appropriate methodology. As an alternative, a copula based methodology for prediction modeling and an algorithm to simulate data are proposed.
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2288
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
7
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
21
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:17573974-Adolescent,
pubmed-meshheading:17573974-Adult,
pubmed-meshheading:17573974-Aged,
pubmed-meshheading:17573974-Aged, 80 and over,
pubmed-meshheading:17573974-Algorithms,
pubmed-meshheading:17573974-Aortic Valve Insufficiency,
pubmed-meshheading:17573974-Aortography,
pubmed-meshheading:17573974-Computer Simulation,
pubmed-meshheading:17573974-Echocardiography, Doppler, Color,
pubmed-meshheading:17573974-Female,
pubmed-meshheading:17573974-Humans,
pubmed-meshheading:17573974-Male,
pubmed-meshheading:17573974-Middle Aged,
pubmed-meshheading:17573974-Monte Carlo Method,
pubmed-meshheading:17573974-Multivariate Analysis,
pubmed-meshheading:17573974-Prognosis,
pubmed-meshheading:17573974-Stroke Volume
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pubmed:year |
2007
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pubmed:articleTitle |
Copula based prediction models: an application to an aortic regurgitation study.
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pubmed:affiliation |
Department of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia. pkumar@kfshrc.edu.sa
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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