Dear Thorsten,

As suggested by other, implementing a time dependent covariate in $DES should 
be the way to go. A quick workaround could also be inserting dummy observations 
at regular intervals in your dataset e.g. when using ADVAN5.

Just out of scientific curiosity:
Are you investigating total (maternal + fetal) body weight as a covariate for 
volume of distribution? I would expect that both maternal body weight (water 
retention and increase in fat tissue) and placental-fetal-weight (growth, 
increase in volume of amniotic fluid) may increase during pregnancy and that 
depending on the drug (whether it penetrates the placenta) this has 
implications for your analysis.

Sincerely,

Rob



---
Dr. R. ter Heine, hospital pharmacist-clinical pharmacologist
Head of Clinical Trials Unit, Dept. of Pharmacy
Radboudumc




Van: [email protected] [mailto:[email protected]] Namens 
Thorsten Lehr
Verzonden: vrijdag 22 april 2016 23:34
Aan: [email protected]
Onderwerp: [NMusers] Time varying volume of distribution implementation


Dear NMusers,

I'm modeling a compound where body weight has a known impact on the volume of 
distribution. This compound is investigated in pregnant women over a long 
period (from gestational age of 8 weeks until they give birth). Consequently, 
the body weight changes over time and I have a decent formula to describe the 
individual body weight change. The PK model has to be coded by ODEs. Does 
anyone has experience how to integrate a time varying volume of distribution if 
differential equations are used?

Best regards

Thorsten

--

Thorsten Lehr, PhD

Junior Professor of Clinical Pharmacy

Saarland University

Campus C2 2

66123 Saarbrücken

Germany



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