Hello NONMEM Community,
Is there an easy way to get PRED from NONMEM when objective function instead of
error model is specified? It is possible to add another set of differential
equations where parameters do not have between-subject variability, but it
seems cumbersome.
Thanks,
Pavel
Is there an easy way to get PRED from NONMEM when objective function instead of error model is specified?
To get PRED, nonmem runs the model with all ETAs fixed to zero. COMACT variable is equal to 1 at this step. So if IPRED is the concentration predictions, then the line:
IF(COMACT.EQ.1) PREDI=IPRED
will give you concentration predictions when all ETAs are equal to zero (that is PRED). This is also convenient to get PRED for BQL observations (when M3 is used)
Leonid
Quoted reply history
On 9/28/2019 8:42 AM, Belo wrote:
> Hello NONMEM Community,
>
> Is there an easy way to get PRED from NONMEM when objective function instead of error model is specified? It is possible to add another set of differential equations where parameters do not have between-subject variability, but it seems cumbersome.
>
> Thanks,
>
> Pavel