SIMULATION QUESTIONS
Dear nmusers,
I'm working on a pharmacokinetic population analysis of a data set in
NONMEM for my master thesis. The data set I'm analysing consists of 12
hours concentration-time profiles. A 2-compartment model with Erlang
distribution describes the data well, and I'm now validating my model.
However, I've run into some questions.
I've performed a data splitting analysis, and have some questions about
predictive performance/simulation in NONMEM.
1. What is the difference between using different seeds and subproblems
when doing a simulation? And how many seeds/subproblems are generally
considered to be needed?
2. Simulating my subsets for the data splitting seems to give a
over-prediction of the concentrations observed. Is there any way I can put
in the C0/C2 concentration, in order to give NONMEM more information and
hopefully better PRED when doing a simulation? Only age was found to be a
significant covariate, and I suspect the reason for over-predicting the
concentrations is that NONMEM needs more information.
3. When having different time measurements, how do I calculate out me (mean
error) and rmse (root mean square error) for the subset; can I use the
average for the different time measurements in the subset?
Part of the inputfil:
ID AMT TIME DV MDV SS II CMT AGE RATE
8 225 0 0 1 2 12 1 59 0
8 0 0 0 0 0 0 8 59 0
8 0 0.23 0 0 0 0 8 59 0
8 0 0.48 0 0 0 0 8 59 0
8 0 0.98 0 0 0 0 8 59 0
8 0 1.43 0 0 0 0 8 59 0
8 0 1.98 0 0 0 0 8 59 0
8 0 3.03 0 0 0 0 8 59 0
8 0 4.07 0 0 0 0 8 59 0
8 0 5.98 0 0 0 0 8 59 0
8 0 8.03 0 0 0 0 8 59 0
8 0 9.97 0 0 0 0 8 59 0
8 0 1.90 0 0 0 0 8 59 0
Part of the controlfile:
$PROB
$DATA
$INPUT
$SUBROUTINE ADVAN5 SS5;
$MODEL
$PK
$ERROR
$THETA
(FIX 7.98) ; K12 (B)
(FIX 27.2) ; Q/F
(FIX 57) ; V8
(FIX 203) ; V9
(FIX 23.4) ; CL/F
(FIX 0.107) ; age effect
$OMEGA
(FIX 0.06)
(FIX 0.09)
(FIX 0.27)
(FIX 0.91)
(FIX 0.02)
$SIGMA
(FIX 0.02)
(FIX 1370)
$SIMULATION (49682607) ONLYSIMULATION SUBPROBLEMS=10
$TABLE
Your help is highly appreciated, thank you in advance.
Best regards,
Live
Live Storehagen
Master student
Institute of Pharmacy
University of Oslo
Norway