Analyzing interval-censored survival-time data in Stata

In survival analysis, right-censored data have been studied extensively and can be analyzed using Stata's extensive suite of survival commands, including streg for fitting parametric survival models. Right-censored data are a special case of interval-censored data. Interval-censoring occurs when the failure time of interest is not exactly observed but is only known to lie within some interval. Left-censoring, which occurs when the failure is known to happen some time before the observed time, is also a special case of interval-censoring. Survival data may contain a mixture of uncensored, right-censored, left-censored, and interval-censored observations. In this talk, I will describe basic types of interval-censored data and demonstrate how to fit parametric survival models to these data using Stata's new stintreg command. I will also discuss postestimation features available after this command.