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Prediction of non-muscle invasive bladder cancer outcomes assessed by innovative multimarker prognostic models.
López De Maturana, Evangelina; Picornell, Antoni; Masson-Lecomte, Alexandra; Kogevinas, Manolis; Márquez, Mirari; Carrato, Alfredo; Tardón, Adonina; Lloreta, Josep; García Closas, Montserrat; Silverman, Debra T.; Rothman, Nathaniel; Chanock, Stephen J.; Real, Francisco X.; Goddard, M. E.; Malats i Riera, Núria; SBC/EPICURO Study Investigators
Multimarker models
Bayesian statistical learning method
Bayesian regression
Bayesian LASSO
AUC-ROC
Determination coefficient
Heritability
Bladder cancer outcome
Prognosis
Recurrence
Progression
Genome-wide common SNP
Illumina Infinium HumanHap 1 M array
Predictive ability
https://creativecommons.org/licenses/by/4.0/
© 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.
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