Potential bug in NM 7.3 and 7.4.2
Dear all,
I would like to share with the group an issue that I encountered using NONMEM
and which appears to me to be an undesired behavior. Since it is confidential
matter I can't unfortunately share code or data.
I have run a simple PK model with 39 data items in $INPUT. After a successful
run I started a covariate search using PsN. To my surprise the OFVs when
including covariates in the forward step turned out to be all higher than the
OFV of the base model. I mean higher by ~180 units.
I realized that PsN in the scm routine adds =DROP to some variables in $INPUT
that are not used in a given covariate test run.
I then ran the base model again with DROPPING some variables from $INPUT. And
indeed the run with 3 or more variables dropped (using DROP or SKIP) resulted
in a higher OFV (~180 units), otherwise being the same model.
In the lst files of both models I noticed a difference in the line saying
"0FORMAT FOR DATA" and in fact when looking at the temporarily created FDATA
files, it is obvious that the format of the file from the model with DROPped
items is different.
In my concrete case the issue only happens when dropping 3 or more variables. I
get the same behavior with NM 7.3 and 7.4.2. Both on Windows 10 and in a linux
environment.
The problem is fixed by using the WIDE option in $DATE.
I'm not aware of any recommendation or advise to use the WIDE option when using
DROP statements in the dataset. But am happy to learn about it in case I missed
it.
Would be great to hear if anyone else had a similar problem in the past.
Best regards, Andreas.
Andreas Lindauer, PhD
Agriculture, Food and Life
Life Science Services - Exprimo
Senior Consultant
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