Re: st: Parametric survival analysis with competing risks

[Enzo Coviello <enzo.coviello@tin.it>]

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
> > Piazza Umberto 1
> > 76121 BARLETTA (BT)
> > Italy
> > mobile +39 347 5016016
> > tel +39 0883 577329
> > fax +39 0883 577288
> > Home +39 0883 695055
> >
> >
> > --
> > 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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