From: Jean-Marie.Martinez

Date: Wed, 23 Nov 2016 08:15:38 +0000

Dear NM-Users,

We are trying to model with NONMEM 7.3 (FOCE.I) a dataset containing one me=

asurement per minute for 68 individuals, for a total of 1440 measurements p=

er individual. The dataset is therefore composed of ~100,000 rows.

After having defined $SIZES adequately (LIM6 statement), the (successful) m=

inimization of the algorithm takes few minutes, without any warning or erro=

r messages.

The problem is that the TABLE output step is nearly impossible to obtain. E=

ven with the FIRSTONLY statement, no table can be obtained in a reasonable =

time period.

Trying to limit the table contents to ID & IPRED only does not solve the is=

sue.

We performed some additional tests with MSF files as input. When applying M=

SF to a dataset composed of only ONE individual at a time, the table takes =

24 hours to be generated.

This would therefore take 68 days (if time increases proportionally... ?) t=

o obtain PRED & IPRED for all individuals.

When implementing the model in an alternative commercial software, the tabl=

e is output in less than 20 minutes.

A solution would be to use MSF on a reduced dataset i.e., with a (randomly)=

decreased number of measurements per individual, but we want to avoid this=

.

What other solution do we have ?

Can anyone provide some input on it ?

Thanks !

Jean-Marie Martinez

Modeling & Simulation Group

Sanofi Montpellier

Received on Wed Nov 23 2016 - 03:15:38 EST

Date: Wed, 23 Nov 2016 08:15:38 +0000

Dear NM-Users,

We are trying to model with NONMEM 7.3 (FOCE.I) a dataset containing one me=

asurement per minute for 68 individuals, for a total of 1440 measurements p=

er individual. The dataset is therefore composed of ~100,000 rows.

After having defined $SIZES adequately (LIM6 statement), the (successful) m=

inimization of the algorithm takes few minutes, without any warning or erro=

r messages.

The problem is that the TABLE output step is nearly impossible to obtain. E=

ven with the FIRSTONLY statement, no table can be obtained in a reasonable =

time period.

Trying to limit the table contents to ID & IPRED only does not solve the is=

sue.

We performed some additional tests with MSF files as input. When applying M=

SF to a dataset composed of only ONE individual at a time, the table takes =

24 hours to be generated.

This would therefore take 68 days (if time increases proportionally... ?) t=

o obtain PRED & IPRED for all individuals.

When implementing the model in an alternative commercial software, the tabl=

e is output in less than 20 minutes.

A solution would be to use MSF on a reduced dataset i.e., with a (randomly)=

decreased number of measurements per individual, but we want to avoid this=

.

What other solution do we have ?

Can anyone provide some input on it ?

Thanks !

Jean-Marie Martinez

Modeling & Simulation Group

Sanofi Montpellier

Received on Wed Nov 23 2016 - 03:15:38 EST