Further development of flexible parametric models for survival analysis

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.


Issue Date:
2009
Publication Type:
Journal Article
DOI and Other Identifiers:
st0165 (Other)
PURL Identifier:
http://purl.umn.edu/127346
Published in:
Stata Journal, Volume 09, Number 2
Page range:
265-290
Total Pages:
26

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 Record created 2017-04-01, last modified 2017-08-26

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