Time Dependent Cox Regression

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收藏 2014-04-12

I want to look at effects of a certain treatment on survival of patients. I have data from a follow-up study of patients with a certain neurological disease. They all entered the study at some point during their disease. At a certain point about two third of the patients started receiving treatment.
I wasn't sure how to go about this problem, so I was thinking about putting the treatment time as a time dependent covariate in the cox regression. Therefore I have created an extra variable Xt which stands for the time until treatment for those who received treatment at a point during follow up and for those who never were treated I have set Xt=10 because the range of
total fu time has a maximum of 10 years.

I created this syntax:

TIME PROGRAM.
COMPUTE T_COV_ = T_ > Xt.
COXREG Follow_uptime
/STATUS=death(1)
/CONTRAST (T_COV_)=Indicator(1)
/METHOD=ENTER T_COV_
/CRITERIA=PIN(.05) POUT(.10) ITERATE(20).

I would like to know if you think this is the right way to analyze this data for this specific question? Also, there is another issue: Is it possible to put more than 1 time dependent variable in the model? Eg the disease severity may also change over time and this might muddy the treatment effect.

Thanks,

Deniz

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ReneeBK

2014-4-12 04:21:57

The value of the "time until starting treatment" variable is not a value that changes over time. It is fixed for every patient. If John started treatment 3 months after beginning to be observed, he would have this fixed 3-month interval for all subsequent times of observation during the study.
It varies from patient to patient, but it does not varies over time for each individual patient. Therefore it is not a time dependent covariate. A time dependent covariate is some attribute of patients that changes as times goes by, i.e. as the study progresses from start to finish.

Hector

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ReneeBK

2014-4-12 04:23:07

Of course you could do Cox Regression, but I do not know the details of the study.
Perhaps things observed before treatment started are important as regards
the outcome, and also the length of time before starting treatment may be
important. Suppose, for instance, that during the pre-treatment period there
might be some events of interest (symptoms, whatever): you may want to
include those events in the analysis (as events occurred before treatment)
just as you treat things occurring after starting the treatment. It all
depends on the specifics of your study.
And by the way, if the study did not start with the start of treatment, when
did it begin? With diagnosis? There should have been something causing every
subject to start being observed.

Hector

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