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Re: SEED status with SAEM method

From: Jakob Ribbing <jakob.ribbing>
Date: Thu, 5 Nov 2020 10:43:03 +0100

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


Cell/Mobile: +46 (0)70 514 33 77

Jakob.Ribbing

www.pharmetheus.com

Phone, Office: +46 (0)18 513 328

Uppsala Science Park, Dag Hammarskjölds väg 36B
SE-752 37 Uppsala, Sweden



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> On 5 Nov 2020, at 09:41, hai le ba <lebahai01
>
> 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: lebahai01
> hailb
bahai.le


Received on Thu Nov 05 2020 - 04:43:03 EST

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