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dc.contributor.author | López De Maturana, Evangelina |
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dc.contributor.author | Picornell, Antoni |
dc.contributor.author | Masson-Lecomte, Alexandra |
dc.contributor.author | Kogevinas, Manolis |
dc.contributor.author | Márquez, Mirari |
dc.contributor.author | Carrato, Alfredo |
dc.contributor.author | Tardón, Adonina |
dc.contributor.author | Lloreta Trull, Josep, 1958- |
dc.contributor.author | García Closas, Montserrat |
dc.contributor.author | Silverman, Debra T. |
dc.contributor.author | Rothman, Nathaniel |
dc.contributor.author | Chanock, Stephen J. |
dc.contributor.author | Real, Francisco X. |
dc.contributor.author | Goddard, M. E. |
dc.contributor.author | Malats i Riera, Núria |
dc.contributor.author | SBC/EPICURO Study Investigators |
dc.date | 2016 |
dc.identifier.citation | López de Maturana E, Picornell A, Masson-Lecomte A, Kogevinas M, Márquez M, Carrato A. et al. Prediction of non-muscle invasive bladder cancer outcomes assessed by innovative multimarker prognostic models. BMC Cancer. 2016 Jun 3;16(1):351. doi: 10.1186/s12885-016-2361-7 |
dc.identifier.citation | 1471-2407 |
dc.identifier.citation | http://dx.doi.org/10.1186/s12885-016-2361-7 |
dc.identifier.uri | http://hdl.handle.net/10230/26986 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | BioMed Central |
dc.relation | info:eu-repo/grantAgreement/EC/FP7/201663 |
dc.rights | https://creativecommons.org/licenses/by/4.0/ |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | © 2016 de Maturana et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
dc.subject | Multimarker models |
dc.subject | Bayesian statistical learning method |
dc.subject | Bayesian regression |
dc.subject | Bayesian LASSO |
dc.subject | AUC-ROC |
dc.subject | Determination coefficient |
dc.subject | Heritability |
dc.subject | Bladder cancer outcome |
dc.subject | Prognosis |
dc.subject | Recurrence |
dc.subject | Progression |
dc.subject | Genome-wide common SNP |
dc.subject | Illumina Infinium HumanHap 1 M array |
dc.subject | Predictive ability |
dc.title | Prediction of non-muscle invasive bladder cancer outcomes assessed by innovative multimarker prognostic models. |
dc.type | info:eu-repo/semantics/article |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.description.abstract | |
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