Capabilities

The LIFEREG Procedure

fits parametric models to failure time data that can be uncensored, right censored, left censored, or interval censored
The distribution of the random disturbance can be taken from a class of distributions that includes the following:
- extreme value
- normal
- logistic
- exponential
- Weibull
- lognormal
- loglogistic
- three-parameter gamma distributions
estimates the parameters by maximum likelihood with a Newton-Raphson algorithm
estimates the standard errors of the parameter estimates from the inverse of the observed information matrix
fits an accelerated failure time model that assumes that the effect of independent variables on an event time distribution is multiplicative on the event time
performs sampling-based Bayesian analysis
perform weighted estimation
obtain separate analyses on observations in groups
create a SAS data set containing the parameter estimates, the maximized log likelihood, and the estimated covariance matrix
create an output data set containing statistics that are calculated after fitting the model
uses ODS to create a SAS data set corresponding to any table
uses ODS Graphics to create graphs as part of its output

For further details see the SAS/STAT User's Guide: The LIFEREG Procedure
( PDF | HTML )

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