Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/39116
Título: | Nonparametric estimation of time-dependent ROC curves conditional on a continuous covariate |
Autor(es): | Rodríguez-Álvarez, María Xosé Machado, Luís Meira Abu-Assi, Emad Raposeiras-Roubín, Sergio |
Palavras-chave: | Receiver-operating characteristic (ROC) curve Survival analysis time-dependent ROC curve kernel-type smoothing acute coronary syndrome |
Data: | 2016 |
Editora: | John Wiley and Sons |
Revista: | Statistics in Medicine |
Citação: | 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 |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/39116 |
DOI: | 10.1002/sim.6769 |
ISSN: | 1097-0258 |
Versão da editora: | http://onlinelibrary.wiley.com/doi/10.1002/sim.6769/full |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Rodr-guez--lvarez_et_al-2015-Statistics_in_Medicine.pdf Acesso restrito! | 304,98 kB | Adobe PDF | Ver/Abrir |