Interval-censored parametric survival-time models

Stata’s new stintreg command joins streg for fitting parametric survival models. stintreg fits models to interval-censored data. In interval-censored data, the time of failure is not exactly known. What is known, subject by subject, is a time when the subject had not yet failed and a later time when the subject already had failed.

stintreg can fit exponential, Weibull, Gompertz, lognormal, loglogistic, and generalized gamma survival-time models. Both proportional-hazards and accelerated failure-time metrics are supported. After fitting a model with stintreg, you can plot survivor, hazard, and cumulative hazard functions, predict mean and median times, obtain Cox-Snell and martingale-like residuals, and more.