Regression analysis of censored data using pseudoobservations

Erik T. Parner
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Erik T. Parner: Aarhus University, Denmark

German Stata Users' Group Meetings 2014 from Stata Users Group

Abstract: In a series of papers, a method based on pseudovalues has been proposed for direct regression modeling of the survival function, the restricted mean, and the cumulative incidence function in competing risks with right-censored data. Once the pseudovalues have been computed, one can fit the models using standard generalized estimating equation software. In this talk, I will present three Stata procedures to compute these pseudoobservations and give examples of applications. I also present guidelines for the number of variables in the regression analyses and discuss future updates of the procedures.

Date: 2014-07-09
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Persistent link: https://EconPapers.repec.org/RePEc:boc:dsug14:01

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