Lin Zhang
> I have a problem in doing a survival analysis. I used a cox
> model with
> weighted sample, the model worked well. Then I wanted to use this
> fitted model to make linear prediction (the log hazard
> ratio) based on
> a NEW dataset, it did not let me do this. I don't know if
> the cox model
> can make linear prediction on NEW dataset or the syntax of
> Stata I used
> was wrong.
> The Stata commends I used:
> . stset msltime censor [pweight=weight2] if (id!=9999)
> . stcox exp s1 s2 s3 bmi gender agemslt if (id!=9999)
> . predict xb if id==9999, xb
> (I got all missing values for the prediction)
> . predict std if id==9999, stdp
> (I got all missing values for the prediction)
>
> It can make prediction on the used dataset. I tried
> non-weighted cox
> model, it also did not work.
>
Not my territory, but here's a guess:
check that all covariates
s1 s2 s3 bmi gender agemslt
are non-missing whenever id is 9999.
egen rmiss = rmiss(s1 s2 s3 bmi gender agemslt)
l if rmiss > 0 and id == 9999
Nick
[email protected]
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