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st: R: reporting time dependent covariates in cox regression


From   "Carlo Lazzaro" <carlo.lazzaro@tin.it>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: R: reporting time dependent covariates in cox regression
Date   Fri, 4 Sep 2009 07:59:44 +0200

Dear Moleps,
As far as a part of your query is concerned

<I still havent even seen anyone report whether PH assum_p_tions have been
met, so I cant really find any articles to copy>.

I would refer you to the following article:

Jes S Lindholt, Svend Juul, Helge Fasting and Eskild W Henneberg
Screening for abdominal aortic aneurysms: single centre randomised
controlled trial. BMJ, doi:10.1136/bmj.38369.620162.82. (Particularly,
Statistical analyses paragraph).

For further details on Survival Analysis topics, I will recommend you to
take a look at:
Cleves MA, Gould WG, Gutierrez R. An Introduction To Survival Analysis Using
Stata. Revised edition. College Station: StataPress, 2004; [ST] Stata
manual. Survival analysis and epidemiological table. Release 9 

Two other relevant contributors of the Statalist - Maarten Buis
(http://home.fsw.vu.nl/m.buis/)  and Stephen Jenkins
(http://www.iser.essex.ac.uk/teaching/degree/stephenj/ec968/index.php.)
published really interesting papers as well as teaching-notes on Survival
Analysis.

HTH and Kind Regards,

Carlo

-----Messaggio originale-----
Da: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di moleps islon
Inviato: giovedì 3 settembre 2009 22.32
A: statalist@hsphsun2.harvard.edu
Oggetto: st: reporting time dependent covariates in cox regression

Dear listers,
What is a good way to report time-dependent covariates in a
multi-variate cox table? In my field of research I still havent even
seen anyone report whether PH assumtions have been met, so I cant
really find any articles to copy.

I´m thinking in the lines of reporting an extra line beneath the main
effect in parenthesis for the significant time-dependent variables in
a table. Anyone have any experience in this?

Also-how would you interpret a significant interaction between age and
treatment that is also time-dependent?


Regards,
M

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