R help - May 2013 - survival in R

Dear friends - I hope it is OK to ask a question on the principles of 
survival analysis. I'm a medical person in this project, but wonders 
about the statistical methods proposed. We have a huge dataset and 
assumption of proportional hazard is said to be fulfilled if survival 
time is fractionated into short, intermediate and long time survival. I 
wonder if it should not be better to have a more generalized method 
encompassing the entirety of the observation period.

Best wishes

Troels Ring, MD
Department of nephrology
Aalborg, Denmark

It is not OK.

Post to a statistical list, like stats.stackexchange.com  , instead.

-- Bert

On Fri, May 24, 2013 at 1:55 PM, Troels Ring <tring at gvdnet.dk>
wrote:
> Dear friends - I hope it is OK to ask a question on the principles of
> survival analysis. I'm a medical person in this project, but wonders
about
> the statistical methods proposed. We have a huge dataset and assumption of
> proportional hazard is said to be fulfilled if survival time is
fractionated
> into short, intermediate and long time survival. I wonder if it should not
> be better to have a more generalized method encompassing the entirety of
the
> observation period.
>
> Best wishes
>
> Troels Ring, MD
> Department of nephrology
> Aalborg, Denmark
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.


-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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