pubmed-article:17573974 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:17573974 | lifeskim:mentions | umls-concept:C0026339 | lld:lifeskim |
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pubmed-article:17573974 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
pubmed-article:17573974 | lifeskim:mentions | umls-concept:C0185125 | lld:lifeskim |
pubmed-article:17573974 | lifeskim:mentions | umls-concept:C2603343 | lld:lifeskim |
pubmed-article:17573974 | lifeskim:mentions | umls-concept:C1705938 | lld:lifeskim |
pubmed-article:17573974 | lifeskim:mentions | umls-concept:C1527178 | lld:lifeskim |
pubmed-article:17573974 | lifeskim:mentions | umls-concept:C2828402 | lld:lifeskim |
pubmed-article:17573974 | lifeskim:mentions | umls-concept:C1283963 | lld:lifeskim |
pubmed-article:17573974 | pubmed:dateCreated | 2007-7-24 | lld:pubmed |
pubmed-article:17573974 | 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. | lld:pubmed |
pubmed-article:17573974 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17573974 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17573974 | pubmed:language | eng | lld:pubmed |
pubmed-article:17573974 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17573974 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:17573974 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:17573974 | pubmed:issn | 1471-2288 | lld:pubmed |
pubmed-article:17573974 | pubmed:author | pubmed-author:ShoukriMohame... | lld:pubmed |
pubmed-article:17573974 | pubmed:author | pubmed-author:KumarPraneshP | lld:pubmed |
pubmed-article:17573974 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:17573974 | pubmed:volume | 7 | lld:pubmed |
pubmed-article:17573974 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:17573974 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:17573974 | pubmed:pagination | 21 | lld:pubmed |
pubmed-article:17573974 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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pubmed-article:17573974 | pubmed:year | 2007 | lld:pubmed |
pubmed-article:17573974 | pubmed:articleTitle | Copula based prediction models: an application to an aortic regurgitation study. | lld:pubmed |
pubmed-article:17573974 | pubmed:affiliation | Department of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia. pkumar@kfshrc.edu.sa | lld:pubmed |
pubmed-article:17573974 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:17573974 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:17573974 | lld:pubmed |