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The Stata Journal
Volume 15 Number 3: pp. 809-821

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Regression analysis of censored data using pseudo-observations: An update

Morten Overgaard
Aarhus University
Aarhus, Denmark
Per K. Andersen
University of Copenhagen
Copenhagen, Denmark
Erik T. Parner
Aarhus University
Aarhus, Denmark
Abstract.  We present updated versions of the stpsurv, stpci, and stpmean commands, which were introduced in Parner Andersen (2010, Stata Journal 10: 408–422), along with a new command, stplost. The commands generate pseudo-observations of the survival function, the cumulative incidence function under competing risks, the restricted mean survival-time function, and the cause-specific lost-lifetime function. The pseudo-observations can be used to assess the effects of covariates on their respective functions at different times by fitting generalized linear models to the pseudo-observations. The updated commands feature new options, an increase in computational speed, and the ability to handle survival data with delayed entry.
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