Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6921412 | Computers in Biology and Medicine | 2015 | 7 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Christel Rushing, Anuradha Bulusu, Herbert I. Hurwitz, Andrew B. Nixon, Herbert Pang,