EvaluatingPredictive Accuracy of SurvivalModels …

Paper SAS462-2017 Evaluating Predictive Accuracy of Survival Models with PROC PHREGC hangbin Guo, Ying So, and Woosung Jang, SAS Institute validation is an important step in the model building process because it provides opportunities to assess the reliability of models before their deployment. Predictive Accuracy measures the ability of the models to predict future risks, and significant developments have been made in recent years in the evaluation of survival m odels. SAS/STAT includes updates to the PHREG procedure with a variety of techniques to calculate overall concordance statistics and time-dependent receiver operator characteristic (ROC) curves for right-censored data. This paper describes how to use these criteria to validate and compare fitted survival models and presents examples to illustrate these There has been growing interest in predictive modeling for various applications.

PaperSAS462-2017 EvaluatingPredictive Accuracy of SurvivalModels withPROCPHREG ChangbinGuo, YingSo,and WoosungJang, SAS InstituteInc. Abstract Modelvalidationis an importantstep in the modelbuildingprocess becauseit providesopportunities to assessthe

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  Accuracy, Evaluatingpredictive, Evaluatingpredictive accuracy of survivalmodels, Survivalmodels, Evaluatingpredictive accuracy of survivalmodels withprocphreg, Withprocphreg

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