Date: Fri, 20 Mar 2009 12:29:35 +0100
Reply-To: "F. Danjou" <fabdanjou@TISCALI.IT>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: "F. Danjou" <fabdanjou@TISCALI.IT>
Subject: Cox models on subgroups
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
I need help regarding a statistical problem for which I couldn't find
any answer yet.
I realized 5 different Cox proportional hazards models for 5 outcomes
that represent 5 subgroups of my sample (discontinuation for functional
remission, discontinuation for other reasons, discontinuation for side
effects, etc...). I do not compare my Cox models between each others, my
interest is only to individuate predictors for each outcome, which I did
according to the evolution of likelihood ratio for each model. However
each different Cox model regards a different subgroup of my population
against the rest, so that I have the doubt that I might have to adjust
my models for something like "multiple testing".
Do I need to adapt in a certain way my different models? If yes what
should I adapt, as the only statistic I have for each model is a
likelihood ratio and I do not have any overall statistic (that actually
does not interest me as I do not want to compare models between them)?
And again, if yes, do I have to report in a way the eventual correction
on predictors p values within each model ?
Thank you very much in advance, best regards,
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