The experimental 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 procedure provides design-based variance estimates, confidence intervals, and hypothesis tests concerning the parameters and model effects.

The PLM procedure takes model results that are stored from SAS/STAT linear modeling procedures and performs additional postfitting inferences without your having to repeat your original analysis. The PLM procedure can perform tasks such as testing hypotheses, computing confidence intervals, producing prediction plots, and scoring new data sets by using familiar statements such as the ESTIMATE, LSMEANS, LSMESTIMATE, and SLICE statements. It can handle model results that are stored from the following SAS/STAT procedures: GENMOD, GLIMMIX, GLM, LOGISTIC, MIXED, ORTHOREG, PHREG, SURVEYLOGISTIC, SURVEYPHREG, and SURVEYREG.