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st: R: survival analysis query regarding stsplit, tvc or using enter and exit options
From
"Carlo Lazzaro" <[email protected]>
To
<[email protected]>
Subject
st: R: survival analysis query regarding stsplit, tvc or using enter and exit options
Date
Thu, 14 Apr 2011 19:29:47 +0200
Melissa may want to take a look at:
Jes S Lindholt, Svend Juul, Helge Fasting and Eskild W Henneberg. Screening
for abdominal aortic aneurysms: single centre randomised controlled trial.
BMJ 2005;330;750-; originally published online 9 Mar 2005;
doi:10.1136/bmj.38369.620162.82
In this free-text article, Authors report (page 2): "As the proportional
hazards assumption was not fulfilled,we decided to carry out separate
analyses for the periods before and after 1.5 years after randomisation".
I do hope that this paper can give you some hints for your research project.
Kind Regards,
Carlo
-----Messaggio originale-----
Da: [email protected]
[mailto:[email protected]] Per conto di Melissa Wright
Inviato: giovedì 14 aprile 2011 13.45
A: [email protected]
Oggetto: st: survival analysis query regarding stsplit, tvc or using enter
and exit options
Hi
I'm working on a breast cancer survival project and am looking at the
effect of grade of tumour, size of tumour, nodal status, screening status
etc on survival.
The proportional hazards assumption is not met for my multivariate Cox
regression. There are several significant interactions between variables.
Including interaction terms in the model or stratifying by grade of
tumour etc doesn't help.
Fitting tvc terms showed that many variables have an interaction with
time. For example:-
xi:stcox i.agegroup i.size i.grade i.screencat i.nodes i.diagperiod9609,
tvc(i.grade) texp(_t>365.25)
I fitted a linear relationship with time, but also allowed for a different
effect after 1 year and 5 years.
Based on the results I thought it would be sensible and straightforward to
stratify by time. I have presented 3 models,
1st year follow up
stset ftime, failure (dead==1) exit(time 365.25)
xi:stcox i.agegroup i.size i.grade i.screencat i.nodes i.diagperiod9609
1-5 years follow up
stset ftime, failure (dead==1) enter(time 365.25) exit(time 1826.25)
xi:stcox i.agegroup i.size i.grade i.screencat i.nodes i.diagperiod9609
5+ years follow up
stset ftime, failure (dead==1) enter(time 1826.25)
xi:stcox i.agegroup i.size i.grade i.screencat i.nodes i.diagperiod9609
Assumptions are met for all the above models. I'm not confident that this
is a legitimate technique however, or if there is a more widely used
method of dealing with this problem. Stsplit doesn't seem to be
appropriate in this instance, unless I'm misunderstanding it's use.
Any advice would be appreciated.
Kind regards
Melissa
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