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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.
----- Original Message -----
From: "Tero T Kivela" <firstname.lastname@example.org>
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
> > 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
> > censored, and doesn't allow me to examine whether my exposure of
> > 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
> > different situation because my failures are mutually exclusive.
> > Any suggestions?
> > Thanks,
> > Shawn
> > *
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> > * http://www.ats.ucla.edu/stat/stata/
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