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]
Re: st: stcox in case the ph-assumption is rejected
From
Maarten Buis <[email protected]>
To
[email protected]
Subject
Re: st: stcox in case the ph-assumption is rejected
Date
Fri, 6 Jan 2012 13:54:12 +0100
> On Fri, Jan 6, 2012 at 10:06 AM, Yuval Arbel <[email protected]> wrote:
>> My first question is whether this discussion [of the proportional hazard assumption, MB] is relevant if I am
>> applying the Cox model to describe the exercise of call (real) options
>> to purchase appartments.
>>
>> My second question is <snip>: is there any command to incorporate the -stcox- with
>> varying hazard level across time? I'm aware of the -strata()- option,
>> but I wonder whether I can somehow account for time-varying covariates
>> and incorporate it with -stcox-
On Fri, Jan 6, 2012 at 9:33 AM, Yuval Arbel wrote:
> Note also that in the medical context, the treatment - is a binary
> variable, which equals 1 for the experimental treatment and 0
> otherwise.
> In our context - the variable of interest is the reduction rate in
> percentage points - where this variable is quantitative.
The proportional hazard assumption is required for Cox regression
regardless of whether you are dealing with medical or economic data,
the variables are binary or (pseudo-)continuous, or you have
experimental or observational data.
I gave an example on how to estimate and interpret a Cox model in
which you relax the proportional hazard assumption by allowing the
effect to change over time here:
<http://www.stata.com/statalist/archive/2011-06/msg00358.html>
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
*
* 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/