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Re: [NMusers] ETAs & SIGMA in external validation

From: Tingjie Guo <>
Date: Fri, 13 Apr 2018 17:20:40 +0200

 _at_Ruben_at_Jakob Very worthwhile discusstion! I would like to raise an
extended question: if the model contains one covariate, the values of which
from external data make parameters negative, what would be the optimal
solution for this?

_at_Ruben Out of curiosity, why did you use Nelder-Mead method instead of
others in your software? And what do you mean OFIM?

​Met vriendelijke groet

On Tue, Apr 10, 2018 at 3:19 PM, Jakob Ribbing <jakob.ribbing_at_pharmetheus
.com> wrote:

> Hi Ruben,
> I think I misread Tingjies original posting as taking ABS(ETA), whereas
> his initial attempt was actually ABS(1+ETA), which is less problematic.
> The latter would not bias simulations much if IIV is e.g. 30% CV, agreed.
> However, as Tingjies is mainly interested in estimation, I believe that
> without the ABS-correction, no subject will have the EBE at ETA <= -1 f=
or a
> parameter that could not be <=0.
> Unless possibly in a subject which is a) uninformative on that parameter
> and b) where the eta is also part of an omega-block - a scenario which
> seems unlikely to me, but may occur in theory.
> Implementing the ABS-korrection ETA=-1.2 would give the same solution
> (parameter value) as ETA=-0.8, but at a higher OFV for that subject.
> It seems to me, if negative parameter values are only a problem in the et=
> search for the EBE, whereas the EBE for individual parameters are always
> positive, then it should be more straightforward to use FOCE, with the
> addition e.g.:
> IF(PARA.LT.0.001) PARA=0.001
> Probably, no subject will have such a low individual parameter value, whe=
> looking into the table output?
> If there are any such subjects I would look for errors in the data set an=
> nonmem code (as outlined in my initial reply).
> The above concerns estimation.
> In simulation (unless %CV is low), we may get a fraction of subject with
> PARA=0.001, which may be an unreasonably low parameter value.
> Whether that is acceptable or not depends on the objectives and in this
> case there was no need for simulations even for model evaluation (?), so =
> will not elaborate further.
> Cheers
> Jakob

Received on Fri Apr 13 2018 - 11:20:40 EDT

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