Literature DB >> 25553357

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

Christel Rushing1, Anuradha Bulusu1, Herbert I Hurwitz2, Andrew B Nixon2, Herbert Pang3.   

Abstract

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.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clinical trials; Cross-validation; Prognostic markers; SAS macro; Score selection; Survival analysis

Mesh：

Substances：

Year:  2014        PMID： 25553357      PMCID： PMC4306627          DOI： 10.1016/j.compbiomed.2014.11.015

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN： 0010-4825            Impact factor:   4.589


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