SAS/STAT Software

PHREG Procedure

The PHREG procedure performs regression analysis of survival data based on the Cox proportional hazards model. Cox's semiparametric model is widely used in the analysis of survival data to explain the effect of explanatory variables on hazard rates. The following are highlights of the PHREG procedure's features:

  • fits a superset of the Cox model, known as the multiplicative hazards model or the Anderson-Gill model
  • fits frailty models
  • fits competing risk model of Fine and Gray
  • performs stratified analysis
  • includes four methods for handling ties in the failure times
  • provides four methods of variable selection
  • permits an offset in the model
  • performs weighted estimation
  • enables you to use SAS programming statements within the procedure to modify values of the explanatory variables or to create ne explanatory variables
  • tests linear hypotheses about the regression parameters
  • estimates customized hazard ratios
  • performs graphical and numerical assessment of the adequacy of the Cox regression model
  • creates a new SAS data set that contains the baseline function estimates at the event times of each stratum for every specified set of covariates
  • outputs survivor function estimates, residuals, and regression diagnostics
  • performs conditional logistic regression analysis for matched case-control studies
  • fits multinomial logit choice models for discrete choice data
  • performs sampling-based Bayesian analysis
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • creates an output data set that contains parameter and covariance estimates
  • creates an output data set that contains user-specified statistics
  • creates a SAS data set that corresponds to any output table
  • automatically created graphs by using ODS Graphics

For further details see the PHREG Procedure