Regression analysis of censored data using pseudo-observations: An update. We present updated versions of the stpsurv, stpci, and stpmean commands, which were introduced in Parner and 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 gen- eralized 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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References in zbMATH (referenced in 2 articles )
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- Maxild Mortensen, Lotte; Hansen, Camilla Plambeck; Overvad, Kim; Lundbye-Christensen, Søren; Parner, Erik T.: The pseudo-observation analysis of time-to-event data. Example from the Danish Diet, Cancer and Health Cohort illustrating assumptions, model validation and interpretation of results (2018)
- Kjaersgaard, Maiken I. S.; Parner, Erik T.: Instrumental variable method for time-to-event data using a pseudo-observation approach (2016)