Further Development of Flexible Parametric Models for Survival Analysis

University of Leicester · Medical Research Council

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Abstract

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…

Citation impact

819
total citations
FWCI
13.91
Percentile
100%
References
12
Citations per year

Authors

2

Topics & keywords

Keywords
  • Covariate
  • Parametric statistics
  • Survival analysis
  • Parametric model
  • Hazard
  • Statistics
  • Proportional hazards model
  • Relative survival
UN Sustainable Development Goals
  • Good health and well-being
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