Extending the Use of PROC PHREG in Survival Analysis Christopher F. Ake, VA Healthcare System, San Diego, CA Arthur L. Carpenter, Data Explorations, Carlsbad, CA ABSTRACT Proc PHREG is a powerful SAS® tool for conducting proportional hazards regression. Time-dependent variables have many useful applications in survival analysis. Both the LIFEREG procedure and the ICPHREG procedure can handle interval-censored data. 0000013294 00000 n
PROC PHREG is a SAS procedure that implements the Cox model and computes the hazard ratio estimate. Left panel: Survival estimates from PROC PHREG, using a BY statement to get curves for different levels of a strata variable; right panel: survival estimates from PROC PHREG using the covariates = option in the BASELINE statement. Its utility, however, can be greatly extended by auxiliary SAS code. z ij. 1478 0 obj
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Its utility, however, can be greatly extended by auxiliary SAS code. If so, it might still be reasonable to perform a stratified analysis. Tune into our on-demand webinar to learn what's new with the program. Cox proportional hazards model using SAS procedure PHREG. PROC BPHREG is an experimental upgrade to PHREG procedure that can be used to fit Bayesian Cox proportional hazards model (SAS Institute, Inc. (2007d)). 0000002153 00000 n
Example 8.1 uses data set sec1_5 introduced in Section 1.5. Hazard ratio with two-sided 95% confidence interval will be based on Wald test. Under the stratified model, the hazard function for the j th individual in the i th stratum is expressed as where is the baseline hazard function for the i th stratum and is the vector of explanatory variables for the individual. 0000090735 00000 n
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The (Proportional Hazards Regression) PHREG semi-parametric procedure performs a regression analysis of survival data based on the Cox proportional hazards model. This example is to illustrate the algorithm used to compute the parameter estimate. For more information about PROC PHREG, see Chapter 87: The PHREG Procedure. When using this stratified version of the model, you need to determine if … PROC PHREG data=dataset; MODEL survtime*censor(1)=trt / TIES=EXACT; STRATA stratum1 ..

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