Re: SEED status with SAEM method
Dear LE Ba,
You did not share much information on your model, except that you have one
observations per subject and that EPS (or rather sigma) is estimated (I assume
then a continuous endpoint).
Is thisyour only level of random effect, so that you have no omega/eta for IOV
or IIV? With one observations per subject it will be difficult to find support
for more than one level.
And for a model with only residual error (no IIV), would not the FO Estimation
method be sufficient, so why would you need to use SAEM for this data/model?
Best regards
Jakob
Jakob Ribbing, Ph.D.
Senior Consultant, Pharmetheus AB
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Quoted reply history
> On 5 Nov 2020, at 09:41, hai le ba <[email protected]> wrote:
>
> Hello nmusers,
> I've tried to test the SAEM method on my dataset (1 sample for each ID) with
> different SEED status. Sometimes, I've got good results (with RSE <50%), but
> sometimes I can't get it.
>
> Example:
> $EST METHOD=SAEM INTERACTION NBURN=3000 NITER=500 AUTO=1 PRINT=100
> SEED=123456789
> $EST METHOD=IMP EONLY=1 PRINT=1 NITER=5 ISAMPLE=1000 MAPITER=0
> I've got EPS : 0.00064 (RSE=63%)
>
> but
> $EST METHOD=SAEM INTERACTION NBURN=3000 NITER=500 AUTO=1 PRINT=100
> SEED=123235489
> $EST METHOD=IMP EONLY=1 PRINT=1 NITER=5 ISAMPLE=1000 MAPITER=0
> I've got EPS : 0.0223 (RSE=18%)
>
> Could i trust on the good results (EPS=0.0223)? How can we control this
> problem?
>
> Thank you very much,
> Hai, LE Ba
> Ph.D Student
> La faculté de Pharmacie - Aix Marseille université
> Hanoi university of Pharmacy
> Email: [email protected] <mailto:[email protected]>
> [email protected] <mailto:[email protected]>;
> [email protected] <mailto:[email protected]>