Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/39116
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Rodríguez-Álvarez, María Xosé | por |
dc.contributor.author | Machado, Luís Meira | por |
dc.contributor.author | Abu-Assi, Emad | por |
dc.contributor.author | Raposeiras-Roubín, Sergio | por |
dc.date.accessioned | 2015-12-21T19:16:55Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Rodriguez-Alvarez, M. X., Meira-Machado, L., Abu-Assi, E., & Raposeiras-Roubin, S. (2016). Nonparametric estimation of time-dependent ROC curves conditional on a continuous covariate. Statistics in Medicine, 35(7), 1090-1102. doi: 10.1002/sim.6769 | - |
dc.identifier.issn | 1097-0258 | por |
dc.identifier.uri | https://hdl.handle.net/1822/39116 | - |
dc.description.abstract | The receiver-operating characteristic (ROC) curve is the most widely used measure for evaluating the performance of a diagnostic biomarker when predicting a binary disease outcome. The ROC curve displays the true positive rate (or sensitivity) and the false positive rate (or 1-specificity) for different cut-off values used to classify an individual as healthy or diseased. In time-to-event studies, however, the disease status (e.g. death or alive) of an individual is not a fixed characteristic, and it varies along the study. In such cases, when evaluating the performance of the biomarker, several issues should be taken into account: first, the time-dependent nature of the disease status; and second, the presence of incomplete data (e.g. censored data typically present in survival studies). Accordingly, to assess the discrimination power of continuous biomarkers for time-dependent disease outcomes, time-dependent extensions of true positive rate, false positive rate, and ROC curve have been recently proposed. In this work, we present new nonparametric estimators of the cumulative/dynamic time-dependent ROC curve that allow accounting for the possible modifying effect of current or past covariate measures on the discriminatory power of the biomarker. The proposed estimators can accommodate right-censored data, as well as covariate-dependent censoring. The behavior of the estimators proposed in this study will be explored through simulations and illustrated using data from a cohort of patients who suffered from acute coronary syndrome. | por |
dc.description.sponsorship | The research of L. Machado was financed by FEDER Funds through ‘Programa Operacional Factores de Competitividade - COMPETE’ and by Portuguese Funds through FCT - ‘Fundação para a Ciência e a Tecnologia’, in the form of grant PEst-OE/MAT/UI0013/2014. M.X. Rodríguez - Álvarez would like to express their gratitude for the support received in the form of the Spanish Ministry of Economy and Competitiveness grant MTM2014-55966-P and the Agrupamento INBIOMED from DXPCTSUG-FEDER unha maneira de facer Europa (2012/273). We are also grateful to the associate editor and the two peer referees for their valuable comments and suggestions, which served to make a substantial improvement to this paper. | por |
dc.language.iso | eng | por |
dc.publisher | John Wiley and Sons | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/135888/PT | por |
dc.rights | restrictedAccess | por |
dc.subject | Receiver-operating characteristic (ROC) curve | por |
dc.subject | Survival analysis | por |
dc.subject | time-dependent ROC curve | por |
dc.subject | kernel-type smoothing | por |
dc.subject | acute coronary syndrome | por |
dc.title | Nonparametric estimation of time-dependent ROC curves conditional on a continuous covariate | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://onlinelibrary.wiley.com/doi/10.1002/sim.6769/full | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 1090 | por |
oaire.citationEndPage | 1102 | por |
oaire.citationIssue | 7 | por |
oaire.citationTitle | Statistics in Medicine | por |
oaire.citationVolume | 35 | por |
dc.identifier.doi | 10.1002/sim.6769 | por |
dc.identifier.pmid | 26487068 | por |
dc.subject.fos | Ciências Naturais::Matemáticas | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Statistics in Medicine | por |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
Rodr-guez--lvarez_et_al-2015-Statistics_in_Medicine.pdf Acesso restrito! | 304,98 kB | Adobe PDF | Ver/Abrir |