Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


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

st: Cox proportional hazard modeling question -- incremental increase in predictor tied to survival times


From   Andrew Kim <AKim@evolvondemand.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: Cox proportional hazard modeling question -- incremental increase in predictor tied to survival times
Date   Tue, 8 Oct 2013 02:16:34 +0000

Hi All,

I have a modeling question using cox proportional hazard models (stcox).  

I am trying to run a cox proportional hazards model to predict the survival of post-op patients grouped by "# of different doctors seen".  Anytime a patient sees a different doctor in a post-op check-up, I increment the "doctors seen" variable up by one.  Some patients see one doctor and others see 10 different doctors in the data.  However, I'm having difficulty modeling around the fact that the # of different doctors seen is a function of survival time (i.e. - the longer you have survived the more opportunity you're given to see different doctors).

Does anyone have any experience with this and possible modeling methods around this?

Please let me know if I can clarify anything above.

Thanks!
Andrew




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


© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index