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

Tópicos

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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

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.

Resumo Limpo

proper intern valid necessari develop reliabl reproduc prognost model extern valid variabl select import step build prognost model howev mani exist approach coupl abil specifi number covari model crossvalid algorithm describ userfriend sas macro implement score select method leaveoneout crossvalid approach discuss method applic behind algorithm well detail sas macro

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