A leave-one-out cross-validation SAS macro for the identification of markers associated with survival.

Journal Article

A proper internal validation is necessary for the development of a reliable and reproducible prognostic model for external validation. Variable selection is an important step for building prognostic models. However, not many existing approaches couple the ability to specify the number of covariates in the model with a cross-validation algorithm. We describe a user-friendly SAS macro that implements a score selection method and a leave-one-out cross-validation approach. We discuss the method and applications behind this algorithm, as well as details of the SAS macro.

Full Text

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Duke Authors

Cited Authors

Rushing, C; Bulusu, A; Hurwitz, HI; Nixon, AB; Pang, H

Published Date

February 2015

Published In

Computers in Biology and Medicine

Volume / Issue

57 /

Start / End Page

123 - 129

PubMed ID

25553357

Electronic International Standard Serial Number (EISSN)

1879-0534

International Standard Serial Number (ISSN)

0010-4825

Digital Object Identifier (DOI)

10.1016/j.compbiomed.2014.11.015

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