Image:Use of SAS ® PROCS in Survival Analysis--Category-Presentations--.pdf
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Use_of_SAS_®_PROCS_in_Survival_Analysis--Category-Presentations--.pdf (469KB, MIME type: application/pdf)
Survival analysis involves the modeling of time-to-event data whereby death or failure is considered an "event". The graphic presentation of survival analysis is a significant tool which facilitates clear understanding of the underlying events. Two SAS ® PROCS, LIFETEST and PHREG can generate some of the survival analysis plots using the ODS Graphics option in version 9.1.3. In this paper, we will demonstrate the features of estimated hazard function, survival function, and cumulative martingale residual plots using ODS graphics. In clinical trials, identifying potential outlier individuals who ‘died far too early’ or ‘lived far too long’ as compared to what the fitted model predicts. The cumulative residuals from PROC PHREG are used to investigate functional form error of covariate and validates of the proportion hazard function.
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