stgenreg: A Stata package for general parametric survival analysis

Michael J. Crowther and Paul C. Lambert
Additional contact information
Michael J. Crowther: Centre for Biostatistics and Genetic Epidemiology, University of Leicester
Paul C. Lambert: Centre for Biostatistics and Genetic Epidemiology, University of Leicester

United Kingdom Stata Users' Group Meetings 2012 from Stata Users Group

Abstract: We present the Stata package stgenreg for the parametric analysis of survival data. Any user-defined hazard or log hazard function can be specified, with the model estimated using maximum likelihood utilizing numerical quadrature. Standard parametric models (for example, the Weibull proportional hazards model and generalized gamma accelerated failure time model) can be fitted; however, the real advantage of the approach is the ability to fit parametric models not available in Stata or other software. Examples will include modeling the log hazard by using fractional polynomials and spline functions, fitting complex time-dependent effects, a generalized gamma model with proportional hazards, and generalized accelerated failure time models. An extensive range of prediction tools are also described.

Date: 2012-09-22
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.org/usug2012/UK12_crowther_lambert.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:usug12:04

Access Statistics for this paper

More papers in United Kingdom Stata Users' Group Meetings 2012 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().