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pubmed-article:17573974pubmed:abstractTextAn 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.lld:pubmed
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pubmed-article:17573974pubmed:authorpubmed-author:ShoukriMohame...lld:pubmed
pubmed-article:17573974pubmed:authorpubmed-author:KumarPraneshPlld:pubmed
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pubmed-article:17573974pubmed:dateRevised2009-11-18lld:pubmed
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pubmed-article:17573974pubmed:articleTitleCopula based prediction models: an application to an aortic regurgitation study.lld:pubmed
pubmed-article:17573974pubmed:affiliationDepartment of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia. pkumar@kfshrc.edu.salld:pubmed
pubmed-article:17573974pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:17573974pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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