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stgenreg: A Stata Package for General Parametric Survival Analysis

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  • Crowther, Michael J.
  • Lambert, Paul C.

Abstract

In this paper we present the Stata package stgenreg for the parametric analysis of survival data. Any user-defined hazard function can be specified, with the model estimated using maximum likelihood utilising numerical quadrature. Models that can be fitted range from the Weibull proportional hazards model to the generalized gamma model, mixture models, cure rate models, accelerated failure time models and relative survival models. We illustrate the features of stgenreg through application to a cohort of women diagnosed with breast cancer with outcome all-cause death.

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  • Crowther, Michael J. & Lambert, Paul C., 2013. "stgenreg: A Stata Package for General Parametric Survival Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i12).
    • Handle: RePEc:jss:jstsof:v:053:i12
    DOI: http://hdl.handle.net/10.18637/jss.v053.i12
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    References listed on IDEAS

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    1. William W. Gould & Jeffrey Pitblado & Brian Poi, 2010. "Maximum Likelihood Estimation with Stata," Stata Press books, StataCorp LP, edition 4, number ml4, March.
    2. Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LP, number fpsaus, March.
    3. Patrick Royston & Douglas G. Altman, 1994. "Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(3), pages 429-453, September.
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    Cited by:

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    2. Martin Connock & Peter Auguste & Xavier Armoiry, 2021. "A comparison of published time invariant Markov models with Partitioned Survival models for cost effectiveness estimation; three case studies of treatments for glioblastoma multiforme," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 89-100, February.
    3. Cai, Hongbin & Jin, Ginger Zhe & Liu, Chong & Zhou, Li-an, 2014. "Seller reputation: From word-of-mouth to centralized feedback," International Journal of Industrial Organization, Elsevier, vol. 34(C), pages 51-65.
    4. Michael J. Crowther, 2013. "Multilevel mixed-effects parametric survival analysis," United Kingdom Stata Users' Group Meetings 2013 05, Stata Users Group.
    5. Julio Montes-Torres & José Luis Subirats & Nuria Ribelles & Daniel Urda & Leonardo Franco & Emilio Alba & José Manuel Jerez, 2016. "Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-14, August.

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