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 explanatory variables are available. The regression coefficients are estimated by maximizing a pseudo-partial-likelihood function that incorporates the sampling weights. The procedure provides design-based variance estimates, confidence intervals, and tests for the estimated regression coefficients.
PROC SURVEYPHREG provides hypothesis tests for the model effects. The procedure also provides custom hypothesis tests for linear combinations of the regression parameters. The procedure computes hazard ratios and their confidence limits. The procedure can produce several observation-level output statistics, such as predicted values and their standard errors, martingale residuals, Schoenfeld residuals, score residuals, and deviance residuals.
PROC SURVEYPHREG also performs proportional hazards regressions for domains.
For more information, see Chapter 113: The SURVEYPHREG Procedure.