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Further development of flexible parametric models for survival analysis

  • Paul C. Lambert

    ()

    (University of Leicester, UK)

  • Patrick Royston

    ()

    (MRC Clinical Trials Unit)

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    Royston and Parmar (2002, Statistics in Medicine 21: 2175 – 2197) developed a class of flexible parametric survival models that were programmed in Stata with the stpm command (Royston, 2001, Stata Journal 1:1-28). In this article, we introduce a new command, stpm2, that extends the methodology. New features for stpm2 include improvement in the way time-dependent covariates are modeled, with these effects far less likely to be over parameterized; the ability to incorporate expected mortality and thus fit relative survival models; and a superior predict command that enables simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences. The ideas are illustrated through a study of breast cancer survival and incidence of hip fracture in prostate cancer patients. Copyright 2009 by StataCorp LP.

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    Article provided by StataCorp LP in its journal Stata Journal.

    Volume (Year): 9 (2009)
    Issue (Month): 2 (June)
    Pages: 265-290

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    Handle: RePEc:tsj:stataj:v:9:y:2009:i:2:p:265-290
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