regards,
Pascal
From: Leonid Gibiansky
To: pascal.gir...@merckgroup.com
Cc: "nmusers@globomaxnm.com"
Date: 26/11/2012 21:40
Subject: Re: [NMusers] Different EBE estimation between original and
enriched dataset
.2B
> Tel.: 919.483.7762 (GSK-Internal: 7/8-703.7762)
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> -Original Message-
> From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com]
> On Behalf Of Bauer, Robert
> Sent: Sunday, November 25, 2012 9:11 PM
> To: Leonid Gibiansky; pascal.gir...@merckg
the Lake Leman would have said, NONMEM,
sometimes, "It's a kind og magic!" :-)
From: Herbert Struemper
To: "nmusers@globomaxnm.com"
Date: 26/11/2012 16:13
Subject: RE: [NMusers] Different EBE estimation between original and
en
, "It's a kind og magic!" :-)
From: Herbert Struemper
To: "nmusers@globomaxnm.com"
Date: 26/11/2012 16:13
Subject: RE: [NMusers] Different EBE estimation between original
and enriched dataset with MDV=1
Sent by:owner-nmus...@globomaxnm.com
Pascal,
Sent: Sunday, November 25, 2012 9:11 PM
To: Leonid Gibiansky; pascal.gir...@merckgroup.com
Cc: nmusers@globomaxnm.com
Subject: RE: [NMusers] Different EBE estimation between original and enriched
dataset with MDV=1
Pascal:
There is one more consideration. If your model depends on the use of covar
.@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com] On
Behalf Of Leonid Gibiansky
Sent: Friday, November 23, 2012 12:15 PM
To: pascal.gir...@merckgroup.com
Cc: nmusers@globomaxnm.com
Subject: Re: [NMusers] Different EBE estimation between original and enriched
dataset with MDV=1
Hi Pascal,
I think t
[NMusers] Different EBE estimation between original and enriched
dataset with MDV=1
Hi Pascal,
In addition to Leonid's answer, if you have time-varying covariates and aren't
explicitly computing the current value in the $DES block and are interpolating
them (with something other tha
Hi Pascal,
In addition to Leonid's answer, if you have time-varying covariates and aren't
explicitly computing the current value in the $DES block and are interpolating
them (with something other than LOCF), that could explain the difference. The
reason would be that NONMEM only resets the val
Hi Pascal,
I think the problem is in the precision of the integration routine. With
extra points, you change the ODE integration process and the results. I
would use TOL=10 or higher in the original estimation. I have seen cases
when changing TOL from 6 to 0 or 10 changed the outcome quite
sig
Dear Pascal,
Here is an idea. You may want to do 1 simulation by having your POSTHOC
estimates in the dataset (like a covariate), let's say your parameters are CL
and V. You will need to fix to zero the ETAs and EPSs (or remove them from the
model) and perhaps have a dummy variable not used i
Dear Pascal,
What you observed is related to “speed” of estimation. With a larger dataset
(many dummies) you slow down the estimation. Roughly similar to using the
SLOW command in $EST. With an estimation that has difficulties to converge
you see a difference in EBEs and other parameters. We sa
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