C-index and ploting survival curves after multiple imputation

[Sugi Jeyaganth]

Dear Statalist,
After i impute my data set. I run the stepwise cox regression analysis.I
need help for to calculate the
1) c-index for my final model
2) pooled survival curve for different levels of covariate.
3)how can i find 95% CI and p-value for two nested Cox models
of a Harrell C statistics comparison.



I am very much appreciate any guidance.

Thanks
Sugi Jey
************below is my stata code ***************

stset fw, f(dead) id(MRN)
gen Int=ln(_t)


*only two binary variable has missing
*imputing this varibles
ice o.mgmt_m o.adjuvan Int _d , ///
gen(m_) saving(im, replace) ///
m(5) seed(4324)

use "im.dta", clear

xi: mim: stepwise, pr(0.10): stcox i.sex i.mgmt_m i.his ///
i.age i.chemo i.kps i.regimen ///
i.loca i.ppro i.adjuvan i.exin

*final model
xi:mim , storebv: stcox i.adjuvan i.mgmt_m i.chemo i.his
mim: predict pb

*c-index
mim, cat(combine) est(r(area)) se(r(se)) : roctab pb _t _d
too few variables specified
an error occurred when statsby executed roctab

*curve
stcurve, survival at1(chemo=0) at2(chemo=1)
last estimates not found

*compare two model c index

xi:mim , storebv: stcox i.adjuvan i.mgmt_m i.chemo
xi:mim , storebv: stcox i.adjuvan i.mgmt_m i.chemo i.his i.ppro

[Jingy Liang]

Dear Sugi,
Have you figured it out? I have the same question now, so can you share how you solve it?
Many thanks.
Jingy