Further development of flexible parametric models for survival analysis
| dc.creator | Lambert, Paul C. | |
| dc.creator | Royston, Patrick | |
| dc.date | 2017-04-01T19:52:06Z | |
| dc.date.accessioned | 2026-07-09T06:15:38Z | |
| dc.description | 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. | |
| dc.identifier | Other:st0165 | |
| dc.identifier | doi:10.22004/ag.econ.127346 | |
| dc.identifier | https://ageconsearch.umn.edu/record/127346/files/sjart_st0165.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/127346 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/574317 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/127346 | |
| dc.title | Further development of flexible parametric models for survival analysis | |
| dc.type | Text |