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CE_36T Wed, 8/6/2014, 1:00 PM - 2:45 PM CC-154
Current Methods in Survival Analysis Using SAS/STAT Software — Professional Development Computer Technology Workshop
ASA , SAS
Interval censoring occurs in clinical trials and medical studies when patients are assessed only periodically. As a result, an event is known to have occurred only within two assessment times. Traditional survival analysis methods for right-censored data are not applicable, and so specialized methods are needed for interval-censored data. This tutorial describes these techniques and their recent implementation in SAS software, both for estimation and comparison of survival functions as well as for proportional hazards regression. Competing risks arise in studies when individuals are subject to a number of potential failure events and the occurrence of one event may impede the occurrence of other events. A useful quantity in competing-risks analysis is the cumulative incidence function, which is the probability sub-distribution function of failure from a specific cause. This tutorial describes how to compute the nonparametric estimate of the cumulative incidence function and discusses a SAS macro which implements it and provides tests for group comparison. In addition, this tutorial describes two approaches that are available with the PHREG procedure for evaluating the relationship of covariates to the cause-specific failure. The first approach models the cause-specific hazard, and the second approach models the cumulative incidence (Fine and Gray 1999).
Instructor(s): Changbin Guo, SAS Institute



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