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The LIFEREG Procedure

Getting Started

The following examples demonstrate how you can use the LIFEREG procedure to fit a parametric model to failure time data.

Suppose you have a response variable y that represents failure time, censor is a binary variable indicating censored values, and x1 and x2 are two linearly independent variables. The following statements perform a typical accelerated failure time model analysis. Note that no higher-order effects such as interactions are allowed in the covariables list.

   proc lifereg;
      model y*censor(0) = x1 x2;
   run;

PROC LIFEREG can operate on interval-censored data. The model syntax for specifying the censored interval is

   proc lifereg;
      model (begin, end) = x1 x2;
   run;

You can also express the response with events/trials syntax, as illustrated in the following statements:

   proc lifereg;
      model r/n=x1 x2;
   run;

The variable n represents the number of trials and the variable r represents the number of events.


Modeling Right-Censored Failure Time Data

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