| pubmed-article:11169599 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:11169599 | lifeskim:mentions | umls-concept:C0038952 | lld:lifeskim |
| pubmed-article:11169599 | lifeskim:mentions | umls-concept:C0449864 | lld:lifeskim |
| pubmed-article:11169599 | lifeskim:mentions | umls-concept:C0036576 | lld:lifeskim |
| pubmed-article:11169599 | lifeskim:mentions | umls-concept:C0684321 | lld:lifeskim |
| pubmed-article:11169599 | lifeskim:mentions | umls-concept:C0010992 | lld:lifeskim |
| pubmed-article:11169599 | pubmed:issue | 2 | lld:pubmed |
| pubmed-article:11169599 | pubmed:dateCreated | 2001-2-22 | lld:pubmed |
| pubmed-article:11169599 | pubmed:abstractText | The Cox proportional hazards model restricts the hazard ratio to be linear in the covariates. A survival model based on data from a clinical trial is developed using spline functions with variable knots to estimate the log hazard function. Moreover, the main point of the method is that a knot, seen as free parameters for a piecewise linear spline, represents a break point in the log hazard function which may be interpreted as a threshold value. The likelihood ratio test is used to select the final model and to determine the threshold number for a covariate. Confidence intervals for these threshold values are computed by bootstrapping the data. Two examples illustrate the method. | lld:pubmed |
| pubmed-article:11169599 | pubmed:language | eng | lld:pubmed |
| pubmed-article:11169599 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:11169599 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:11169599 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:11169599 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:11169599 | pubmed:month | Jan | lld:pubmed |
| pubmed-article:11169599 | pubmed:issn | 0277-6715 | lld:pubmed |
| pubmed-article:11169599 | pubmed:author | pubmed-author:DaurèsJ PJP | lld:pubmed |
| pubmed-article:11169599 | pubmed:author | pubmed-author:MolinariNN | lld:pubmed |
| pubmed-article:11169599 | pubmed:author | pubmed-author:DurandJ FJF | lld:pubmed |
| pubmed-article:11169599 | pubmed:copyrightInfo | Copyright 2001 John Wiley & Sons, Ltd. | lld:pubmed |
| pubmed-article:11169599 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:11169599 | pubmed:day | 30 | lld:pubmed |
| pubmed-article:11169599 | pubmed:volume | 20 | lld:pubmed |
| pubmed-article:11169599 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:11169599 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:11169599 | pubmed:pagination | 237-47 | lld:pubmed |
| pubmed-article:11169599 | pubmed:dateRevised | 2007-11-15 | lld:pubmed |
| pubmed-article:11169599 | pubmed:meshHeading | pubmed-meshheading:11169599... | lld:pubmed |
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| pubmed-article:11169599 | pubmed:meshHeading | pubmed-meshheading:11169599... | lld:pubmed |
| pubmed-article:11169599 | pubmed:year | 2001 | lld:pubmed |
| pubmed-article:11169599 | pubmed:articleTitle | Regression splines for threshold selection in survival data analysis. | lld:pubmed |
| pubmed-article:11169599 | pubmed:affiliation | Laboratoire de Biostatistique, Institut Universitaire de Recherche Clinique, 641, avenue Gaston Giraud, 34093 Montpellier, France. | lld:pubmed |
| pubmed-article:11169599 | pubmed:publicationType | Journal Article | lld:pubmed |
