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SAS/STAT Software

ICPHREG Procedure


The ICPHREG procedure fits proportional hazards regression models to interval-censored data. You can fit models that have a variety of configurations with respect to the baseline hazard function, including the piecewise constant model and the cubic spline model. PROC ICPHREG maximizes the full likelihood instead of the Cox partial likelihood to estimate the regression coefficients. Standard errors of the estimates are obtained by inverting the observed information matrix that is derived from the full likelihood. The following are highlights of the ICPHREG procedure's features:

  • tests linear hypotheses about the regression coefficients
  • computes customized hazard ratios
  • estimates and plots the survival function and the cumulative hazard function for a new set of covariates
  • creates a SAS data set that contains the predicted values
  • enables you to include an offset variable in the model
  • enables you to weight the observations in the input data
  • supports BY group processing, which enables you to obtain separate analyses on grouped observations
  • 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 ICPHREG Procedure
( PDF | HTML )

Examples