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Analyzing interval-censored survival-time data in Stata

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  • Xiao Yang

    (StataCorp)

Abstract

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.

Suggested Citation

  • Xiao Yang, 2017. "Analyzing interval-censored survival-time data in Stata," 2017 Stata Conference 10, Stata Users Group.
    • Handle: RePEc:boc:scon17:10
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    File URL: http://fmwww.bc.edu/repec/scon2017/Baltimore17_Yang.pdf
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