| pubmed-article:21276237 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:21276237 | lifeskim:mentions | umls-concept:C0237913 | lld:lifeskim |
| pubmed-article:21276237 | lifeskim:mentions | umls-concept:C2745888 | lld:lifeskim |
| pubmed-article:21276237 | lifeskim:mentions | umls-concept:C0681890 | lld:lifeskim |
| pubmed-article:21276237 | lifeskim:mentions | umls-concept:C0205410 | lld:lifeskim |
| pubmed-article:21276237 | pubmed:dateCreated | 2011-2-22 | lld:pubmed |
| pubmed-article:21276237 | pubmed:abstractText | We have observed that the area under the receiver operating characteristic curve (AUC) is increasingly being used to evaluate whether a novel predictor should be incorporated in a multivariable model to predict risk of disease. Frequently, investigators will approach the issue in two distinct stages: first, by testing whether the new predictor variable is significant in a multivariable regression model; second, by testing differences between the AUC of models with and without the predictor using the same data from which the predictive models were derived. These two steps often lead to discordant conclusions. | lld:pubmed |
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| pubmed-article:21276237 | pubmed:language | eng | lld:pubmed |
| pubmed-article:21276237 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:21276237 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:21276237 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:21276237 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:21276237 | pubmed:issn | 1471-2288 | lld:pubmed |
| pubmed-article:21276237 | pubmed:author | pubmed-author:BeggColin BCB | lld:pubmed |
| pubmed-article:21276237 | pubmed:author | pubmed-author:VickersAndrew... | lld:pubmed |
| pubmed-article:21276237 | pubmed:author | pubmed-author:CroninAngel... | lld:pubmed |
| pubmed-article:21276237 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:21276237 | pubmed:volume | 11 | lld:pubmed |
| pubmed-article:21276237 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:21276237 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:21276237 | pubmed:pagination | 13 | lld:pubmed |
| pubmed-article:21276237 | pubmed:dateRevised | 2011-7-25 | lld:pubmed |
| pubmed-article:21276237 | pubmed:meshHeading | pubmed-meshheading:21276237... | lld:pubmed |
| pubmed-article:21276237 | pubmed:meshHeading | pubmed-meshheading:21276237... | lld:pubmed |
| pubmed-article:21276237 | pubmed:meshHeading | pubmed-meshheading:21276237... | lld:pubmed |
| pubmed-article:21276237 | pubmed:meshHeading | pubmed-meshheading:21276237... | lld:pubmed |
| pubmed-article:21276237 | pubmed:meshHeading | pubmed-meshheading:21276237... | lld:pubmed |
| pubmed-article:21276237 | pubmed:meshHeading | pubmed-meshheading:21276237... | lld:pubmed |
| pubmed-article:21276237 | pubmed:meshHeading | pubmed-meshheading:21276237... | lld:pubmed |
| pubmed-article:21276237 | pubmed:year | 2011 | lld:pubmed |
| pubmed-article:21276237 | pubmed:articleTitle | One statistical test is sufficient for assessing new predictive markers. | lld:pubmed |
| pubmed-article:21276237 | pubmed:affiliation | Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, Box 44, New York, NY 10065 USA. vickersa@mskcc.org | lld:pubmed |
| pubmed-article:21276237 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:21276237 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:21276237 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
