Further Development of Flexible Parametric Models for Survival Analysis
University of Leicester · Medical Research Council
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
- FWCI
- 13.91
- Percentile
- 100%
- References
- 12
Authors
2Topics & keywords
- Covariate
- Parametric statistics
- Survival analysis
- Parametric model
- Hazard
- Statistics
- Proportional hazards model
- Relative survival
- Good health and well-being