RE: st: Parametric survival analysis with competing risks

[Cameron McIntosh <cnm100@hotmail.com>]

Correct -- the results will be biased if you use a naive Kaplan-Meier (censoring out the competing events as you say). Cox or Fine-Gray models are preferable in this case, but not perfect. Happy reading,Cam

> Date: Sun, 29 Apr 2012 08:40:42 +0200
> From: enzo.coviello@tin.it
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: Parametric survival analysis with competing risks
> 
> Hi,
> 
> thanks for the references.
> Let me consider that none of the cited references recommend to apply the 
> ordinary survival regressions treating the subjects with competing 
> events as censored at the end of the study period.
> 
> Enzo
> 
> 
> 
> Il 28/04/2012 22.27, Cameron McIntosh ha scritto:
> > Enzo,
> > I also suggest you take a look at:
> >
> > Andersen, P.K., Geskus, R.B., de Witte, T.,&  Putter, H. (2012). Competing risks in epidemiology: possibilities and pitfalls.International Journal of Epidemiology, Advance Access.http://ije.oxfordjournals.org/content/early/2012/01/08/ije.dyr213.abstracthttp://192.38.117.59/~pka/avepi11/Research_Report_11-2.pdf
> >
> > Dignam, J.T., Zhang, Q.,&  Kocherginsky, M. (2012). The Use and Interpretation of Competing Risks Regression Models.Clinical Cancer Research, 18, 2301-2308.
> >
> > Dignam, J.T.,&  Kocherginsky, M. (2008). Choice and Interpretation of Statistical Tests Used When Competing Risks Are Present. Journal of Clincial Oncology, 26(24), 4027-4034. 
> >
> > Fine, J. P.,&  Gray, R.J. (1999). A proportional hazards model for the subdistribution of a competing risk. Journal of theAmerican Statistical Association, 94(446), 496-509.
> >
> > Gichangi, A.,&  Vach, W. (2005). The analysis of competing risks data: a guided tour. Statistics in Medicine, 132(4), 1-41.
> >
> > Lambert, P. C., Dickman, P. W., Nelson, C. P.,&  Royston, P. (2010). Estimating the crude probability of death due to cancerand other causes using relative survival models. Statistics in Medicine, 29(7-8), 885-895.
> >
> > Williamson, P. R.,  Kolamunnage-Dona, R.,&  Smith, C.T. (2007). The influence of competing-risks setting on the choice of hypothesis test for treatment effect.  Biostatistics, 8(4), 689-694.http://biostatistics.oxfordjournals.org/content/8/4/689.full
> >
> > Putter, H., Fiocco, M.,&  Geskus, R.B. (2007). Tutorial in biostatistics: competing risks and multi-state models. Statistics inMedicine, 26(11), 2389-2430.http://web.inter.nl.net/users/rgeskus/CompRisk.pdf
> >
> > Cam
> >
> >> Date: Sat, 28 Apr 2012 11:16:48 +0200
> >> From: enzo.coviello@tin.it
> >> To: statalist@hsphsun2.harvard.edu
> >> Subject: st: Parametric survival analysis with competing risks
> >>
> >> Dear Paul,
> >>
> >> In fact, since posting, I have read around&   done some web searches&   realised that survival analysis with competing risks is not so different from ordinary survival analysis, which answers my immediate problem .  The same regression methods and software can apparently be used.  It is only necessary to treat the subjects with competing events (women undergoing induction or C/S) as censored at the end of the study period.
> >>
> >>
> >> I believe that ordinary survival regression can be applied to competing
> >> risks situation if observations are appropriately weighted (Geskus,
> >> Biometrics 2011 67, 39–49).
> >> Unfortunately the very interesting approach proposed in the paper is not
> >> currently available within Stata.
> >>
> >> Let me know if I should change this not encouraging point of view.
> >> Best wishes.
> >>
> >> Enzo
> >>
> >>
> >> -- 
> >> Enzo Coviello
> >> Epidemiology Unit - Cancer Registry ASL BT
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> >>
> >>
> >> -- 
> >> Enzo Coviello
> >> Epidemiology Unit - Cancer Registry ASL BT
> >> Piazza Umberto 1
> >> 76121 BARLETTA (BT)
> >> Italy
> >> mobile +39 347 5016016
> >> tel +39 0883 577329
> >> fax +39 0883 577288
> >> Home +39 0883 695055
> >>
> >> *
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> 
> 
> -- 
> Enzo Coviello
> Epidemiology Unit - Cancer Registry ASL BT
> Piazza Umberto 1
> 76121 BARLETTA (BT)
> Italy
> mobile +39 347 5016016
> tel +39 0883 577329
> fax +39 0883 577288
> Home +39 0883 695055
> 
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