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Abstract:
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Survival analysis provides insights into time-to-event data. Well-established methods focus on right-censored data and include the Kaplan-Meier method, the log-rank test, and the Cox proportional hazards regression model. SAS/STAT software for survival analysis continues to evolve, and the latest updates include advanced methods that deal with interval-censored data and competing risks data, as well as state-of-the-art statistics for assessing survival models to facilitate risk prediction. This tutorial begins with a review of basic concepts and then presents two sets of model assessment methods-concordance statistics and time-dependent ROC curves-that are available in the PHREG procedure in SAS/STAT 14.2. Next, the tutorial introduces the ICLIFETEST and ICPHREG procedures for the analysis of interval-censored data, demonstrating how to use these procedures for estimation and comparison of survival functions, and for proportional hazards regression. The tutorial then turns to the analysis of competing risks data and explains how to use the LIFETEST procedure to conduct nonparametric survival analysis and the PHREG procedure to investigate the relationship of covariates to cause-specific failures. A basic understanding of applied statistics is assumed.
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