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st: Predicting survival at a specific time following generalized gamma regression


From   Thomas Inns <Thomas.Inns@hpa.org.uk>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: Predicting survival at a specific time following generalized gamma regression
Date   Wed, 11 Jul 2012 11:24:37 +0000

Hello,

If someone could kindly take the time to help me I'd be very appreciative. I'm try to predict the probability of survival at one year following infection.
I'm using a parametric survival model with a generalized gamma distribution and an accelerated failure-time metric (streg, distribution(gamma) time).

I have used the streg postestimation command "predict, surv", but I can't work out how to put a confidence interval around my predicted survival probability at one year following infection. Is this possible? And if so, do you know how I might do this?

Below is my code, inspired by Bobby Gutierrez's post at http://www.stata.com/statalist/archive/2010-12/msg00647.html.

Thanks,
Thomas Inns

*************CODE BEGINS*************
streg i.ribolog i.gender i.agetri i.year i.ftbin##i.trustapp, d(gamma) time

****predict conditional survivor function (probability of survival past time t)
****(time t = 1 year)
*prediction at t = 365.25
gen tt = 365.25

*keep old _t
gen t_old = _t

*put in _t you want to use for prediction
replace _t = tt

*predict surival past time _t (one year)
predict t_surv, surv

label var t_surv "gamma prediction"

*summarise these predictions
summ t_surv, detail
**************CODE ENDS**************


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