HI JBerry,
Thanks for the detailed question!!! Nice screenshots and awesome profile pic BTW!
I borrowed this idea from Wendy Czika. Do this:
1. Add a Score node after your Survivial node and run it. Open the results and copy the Optimized code.
2. Connect a SAS Code node after your Data set. Open the editor and add this:
-libname statement to create a library (remember that valid library names are 8 characters or less)
-data statement to output your results
-set statement for your data set
-the optimized score code you copied from the Score node
-run statement
It would look something like this:
libname results "D:\EM\EM_Projects\EM13.2\miguel";
data results.scored36m;
set &EM_IMPORT_DATA;
/* your optimized core code goes here */
run;
4. Scroll all the way down to the last part of the optimized score code you pasted. Right before the end you will see the part where the macro EM_SURVEVENT calcualtes the survival probability. Add the code highlighted in yellow. It creates the variable IntervalsInFuture and outputs the calculations for all periods after _t0_.
/***** omitted lines of code ******/
if _T_=t0_fcst then EM_SURVEVENT=(EM_SURVIVAL-EM_SURVFCST)/0.00001;
end;
/*just to be able to easier see how many months after the censor date we are looking at */
IntervalsInFuture = _t_ - _t0_;
/* output each period */
if _t_ >= _t0_ then output;
_t_+1;
end;
_T_ = _T0_;
;
end;
5. Open your results data set to confirm this worked as intended. I just tried this with my go-to example and it worked great.
I hope this helps!
Thanks,
https://www.linkedin.com/in/migmaldonado
