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

Journal Article (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

Duke Authors

Cited Authors

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

Published Date

  • February 2015

Published In

Volume / Issue

  • 57 /

Start / End Page

  • 123 - 129

PubMed ID

  • 25553357

Pubmed Central ID

  • PMC4306627

Electronic International Standard Serial Number (EISSN)

  • 1879-0534

Digital Object Identifier (DOI)

  • 10.1016/j.compbiomed.2014.11.015

Language

  • eng

Conference Location

  • United States