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Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model


  • Patrick Royston
  • Paul C. Lambert


Michael Mitchell’s Data Management Using Stata comprehensively covers data-management tasks, from those a beginning statistician would need to those hard-to-verbalize tasks that can confound an experienced user. Mitchell does this all in simple language with illustrative examples.

Suggested Citation

  • Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LP, number fpsaus, December.
  • Handle: RePEc:tsj:spbook:fpsaus

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    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Benoît Laplante, 2016. "A matter of norms: Family background, religion, and generational change in the diffusion of first union breakdown among French-speaking Quebeckers," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(27), pages 783-812, September.
    2. Patrick Royston, 2012. "Tools to simulate realistic censored survival-time distributions," Stata Journal, StataCorp LP, vol. 12(4), pages 639-654, December.
    3. repec:jss:jstsof:v:070:i08 is not listed on IDEAS
    4. Michael J. Crowther & Paul C. Lambert, 2012. "stgenreg: A Stata package for general parametric survival analysis," United Kingdom Stata Users' Group Meetings 2012 04, Stata Users Group.
    5. Rojas-Perilla, Natalia & Pannier, Sören & Schmid, Timo & Tzavidis, Nikos, 2017. "Data-driven transformations in small area estimation," Discussion Papers 2017/30, Free University Berlin, School of Business & Economics.
    6. Michael J. Crowther, 2014. "Simulating simple and complex survival data," United Kingdom Stata Users' Group Meetings 2014 06, Stata Users Group.
    7. H. Joseph Newton & Nicholas J. Cox, 2016. "The Stata Journal Editors' Prize 2016: Patrick Royston," Stata Journal, StataCorp LP, vol. 16(4), pages 815-825, December.
    8. Stefan J Meyer, 2016. "Obesity and Health-Care Costs in Switzerland: Dealing with Endogeneity in Non-Linear Regression Models," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 152(III), pages 243-286, September.
    9. Noori Akhtar-Danesh, 2015. "A Comparison of Modeling Scales in Flexible Parametric Models," 2015 Stata Conference 15, Stata Users Group.
    10. 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).
    11. Nicola Orsini, 2013. "Review of Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Patrick Royston and Paul C. Lambert," Stata Journal, StataCorp LP, vol. 13(1), pages 212-216, March.
    12. Michael J. Crowther & Paul C. Lambert, 2012. "Simulating complex survival data," Stata Journal, StataCorp LP, vol. 12(4), pages 674-687, December.
    13. Michael J. Crowther, 2013. "Multilevel mixed-effects parametric survival analysis," United Kingdom Stata Users' Group Meetings 2013 05, Stata Users Group.
    14. Rudi, Jeta & Grant, Jason H. & Peterson, Everett B., 2012. "Survival of the Fittest: Explaining Export Duration and Export Failure in the U.S. Fresh Fruit and Vegetable Market," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124706, Agricultural and Applied Economics Association.
    15. Paul C. Lambert, 2013. "Estimating and modelling cumulative incidence functions using time-dependent weights," United Kingdom Stata Users' Group Meetings 2013 22, Stata Users Group.

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    Stata; survival models; parametric models; Cox model;


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