Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: R: reporting time dependent covariates in cox regression


From   moleps islon <moleps2@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: R: reporting time dependent covariates in cox regression
Date   Fri, 4 Sep 2009 09:43:17 +0200

Appreciate your efforts, Carlo. However Lindholt et al had only
dichotomised before and after x yrs, not the -tvc-option in stata. I
agree that Cleves is a good book, but a little short on the practical
examples-and they dont either give any clues as to how results with
-tvc-should be presented.

Regards,
M


On Fri, Sep 4, 2009 at 7:59 AM, Carlo Lazzaro<carlo.lazzaro@tin.it> wrote:
> 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: giovedě 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
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>
>
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index