SURVEYPHREG Procedure
The SURVEYPHREG procedure performs regression analysis based on the Cox proportional hazards model for sample survey data.
Cox's semiparametric model is widely used in the analysis of survival data to estimate hazard rates when adequate explanatory variables are available.
The following are highlights of the SURVEYPHREG procedure's features:
 computes hazard ratios estimates
 computes variances of the regression parameters by using the following methods:
 Taylor series (linearization)
 balanced repeated replication (BRR)
 delete1 jackknife
 produces the following observationlevel output statistics:
 predicted values and their standard errors
 martingale residuals
 Schoenfeld residuals
 score residuals
 deviance residuals
 enables you to employ Fay's method with BRR
 enables you to input or output a SAS data set containing a Hadamard matrix for BRR
 enables you to import or export SAS data sets containing replicate weights for BRR or jackknife methods
 provides analysis for subpopulations, or domains, in addition to analysis for the entire study population

 supports programming statements that enable you to include timedependent covariates in the model
 performs BY group processing, which enables you to obtain separate analyses on grouped observations (distinct from subpopulation analysis)
 enables you to test linear hypotheses about the regression parameters
 enables you to estimate a linear function of the regression parameters
 creates a SAS data set that contains the estimated linear predictors and their standard error estimates, the residuals from the linear regression, and the
confidence limits for the predictors
 creates a SAS data set that contains the jackknife coefficients
 saves the context and results in an item store that can be processed with the PLM procedure
 creates a SAS data set that corresponds to any output table
 automatically creates graphs by using ODS Graphics

For further details see the SAS/STAT User's Guide:
The SURVEYPHREG Procedure
( PDF  HTML )
Examples