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You can plot the cause-specific hazard functions using  -sts graph,h -
You repeat this for each cause and look the graphs.

You can also use cumulative incidence function which are estimated by
-stcompet - Then you can plot the functions for each group in one plot

These tools will help you visualized  what is happening onto other causes.

Regards
Anthony

----- Original Message ----- 
From: "Tero T Kivela" <tekivela@cc.helsinki.fi>
To: <statalist@hsphsun2.harvard.edu>
Sent: Wednesday, June 02, 2004 3:38 PM
Subject: Re: st: Competing Cause Mortality


> Dear Shawn,
>
> Enzo Coviello's very handy -stcompet- ado-file will solve your problem if
> you need a Kaplan-Meire type analysis.
>
> If you need an equivalent of Cox regression, Stata doen not help you
> (yet). Competing risk regression is, however, available for the R
> and S-Plus softwares e.g. in R's -cuminc- package, and R also allows
> reading of Stata files with the -foreign- package.
>
> Best regards,
>
> T Kivelš
> Univ. of Helsinki
>
> On Wed, 2 Jun 2004 Shawn.Fultz@med.va.gov wrote:
>
> > I am trying to do an analysis of competing-cause mortality. I have a
> > mortality dataset where I have death (yes/no) and among those who died,
> > whether it was a specific type of death (yes/no).
> >
> > Initially, I used stset with any-cause death as my failure, then
repeated
> > the analysis with type-specific death as failure. I've been told that's
> > incorrect, because it treats those who died from another cause as just
being
> > censored, and doesn't allow me to examine whether my exposure of
interest
> > also increases the non-specific cause of death. I was told I need to do
> > competing-cause mortality, to see how my exposure impacts both the
> > type-specific and the other causes of death.
> >
> > I found information on competing risk analysis at
> > http://www.stata.com/support/faqs/stat/stmfail.html, but it appears to
be a
> > different situation because my failures are mutually exclusive.
> >
> > Any suggestions?
> >
> > Thanks,
> > Shawn
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> >
>
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