Dear R users:
Analysis of the impact of a time-dependent covariate (GVHD or use of
steroid after bone marrow transplantation) on two competing endpoints (invasive
fungal infection and death) is frequently encountered in the setting of BMT
data. Coxph package can be used as the following:
for the analysis of GVHD:
> gvhd -> coxph(Surv(start,stop,status = =1) ~ GVHD, data=bmt.data)
and the data should be edited as the following:
patient start stop status(IFI) GVHD
1 0 15 0 0
1 15 35 1 1
2 0 12 0 0
2 12 20 2 1
3 0 30 2 0
4 0 100 0 0
5 0 25 0 0
5 25 100 0 1
similarly, for steroid:
> steroid -> coxph(Surv(start,stop,status = =1) ~ steroid, data=bmt.data)
and the data was edited as the following:
patient start stop status(IFI) steroid
1 0 16 0 0
1 16 35 1 1
2 0 13 0 0
2 13 20 2 1
3 0 14 0 0
3 14 30 2 1
4 0 100 0 0
5 0 21 0 0
5 21 100 0 1
I wonder how can I analyze the two risk factors (GVHD and steroid)
concurrently? And how to edit the data.
How can I manage it if a third baseline risk factor(age for example) was
included?
Thanks
Yours sincerely Ping Zhang
Feb 24 2009
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