Capabilities

The SURVEYPHREG Procedure

performs regression analysis based on the Cox proportional hazards model for sample survey data
hazard ratios estimates
variances of the regression parameters computed by using the following methods:
- Taylor series (linearization)
- balanced repeated replication (BRR)
- delete-1 jackknife
produces the following observation-level output statistics:
- predicted values and their standard errors
- martingale residuals
- Schoenfeld residuals
- score residuals
- deviance residuals
employ Fay's method with BRR
input or output a SAS data set containing a Hadamard matrix for BRR
import or export SAS data sets containing replicate weights for BRR or jackknife methods
create a SAS data set containing the jackknife coefficients
provides analysis for subpopulations, or domains, in addition to analysis for the entire study population
supports programming statements that enable you to include time-dependent covariates in the model
obtain separate analyses on observations in groups (distinct from subpopulation analysis)
test linear hypotheses about the regression parameters
estimate a linear function of the regression parameters
create a new 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
save the context and results in an item store that can be processed with the PLM procedure
uses ODS to create a SAS data set corresponding to any table
supports ODS Graphics

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

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