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. qui sysuse cancer, clear
. qui stset studytime, failure(died==1)
. sts list, at(0 15) failure by(drug)

         failure _d:  died == 1
   analysis time _t:  studytime

              Beg.                      Failure       Std.
    Time     Total     Fail             Function     Error     [95% Conf. Int.]
-------------------------------------------------------------------------------
drug=1
       0         0        0              0.0000         .          .         .
      15         4       16              0.8313    0.0876     0.6338    0.9572
drug=2
       0         0        0              0.0000         .          .         .
      15         7        3              0.2552    0.1310     0.0874    0.6129
drug=3
       0         0        0              0.0000         .          .         .
      15        13        2              0.1429    0.0935     0.0378    0.4606
-------------------------------------------------------------------------------
Note:  Failure function is calculated over full data and evaluated at
       indicated times; it is not calculated from aggregates shown at left.

However, the estimates saved in r() after -sts list- do not help me:

. return list

scalars:
                 r(N) =  10
             r(sum_w) =  10
              r(mean) =  35.5
               r(Var) =  9.166666666666666
                r(sd) =  3.027650354097492
               r(min) =  31
               r(max) =  40
               r(sum) =  355

-sts generate- allows me to predict the failure function, but the
failure times in my dataset are random and I do not always have an
observation at each discrete time for which I want a prediction.

Is there a way to use -sts generate- to generate the failure function
values in a different dataset than that in which my data is stset?

Or, is there another way to capture the estimates I want so that they
are accessible to do-file code?

Hope someone can help ... thank you for your time!

Jacki
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