Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications

Rodriguez-Girondo, M, Salo, P, Burzykowski, T et al. (3 more authors) (2018) Sequential double cross-validation for assessment of added predictive ability in high-dimensional omic applications. Annals of Applied Statistics, 12 (3). pp. 1655-1678. ISSN 1932-6157

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Authors/Creators:
Copyright, Publisher and Additional Information: This paper was originally published in Annals of Applied Statistics, https://www.e-publications.org/ims/submission/AOAS/user/submissionFile/27338?confirm=d13de40e. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Added predictive ability; double cross-validation; regularized regression; multiple omics sets
Dates:
  • Published: 11 September 2018
  • Accepted: 20 November 2017
  • Published (online): 19 March 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 22 Nov 2017 12:28
Last Modified: 01 Oct 2018 14:51
Published Version: https://www.e-publications.org/ims/submission/AOAS...
Status: Published
Publisher: Institute of Mathematical Statistics
Identification Number: https://doi.org/10.1214/17-AOAS1125

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