Dear colleagues,

I'm currently working on a population PK analysis where I probably need to 
incorporate interoccation variation on one or more parameters. However,
I'm wondering about one issue. To put it short, here's the problem:

Trial 1: 1 dosing occation, PK observed for 1 week
Trial 2: 3 dosing occation (1 x week), not full washout between, PK observed 
for 1 week after dose 1 and after dose 3. PK varies betw. wk 1 and 3. within 
subject.

Question: Should

1) occasion flag OCC=1 for all subject in trial 1 and OCC=1 (week1) and 2 (week 
3) in trial 2? Or should
2) occasion flag OCC be omitted for trial 1 subjects and set to 1 or 2 as in 1) 
for trial 2.

On one hand, 1) would strictly speaking seem correct as these subjects have 
only a dose 1 occation. On the other hand, my feeling is that NONMEM would be
put in trouble with seemingly always two inseparable individual ETAs in trial 1 
subjects for parameters with IOV on. (I'm using FOCEI).

Ka = TVKA*EXP(ETA(IIV_Ka))
IF (OOC.EQ.1) Ka = Ka*EXP(ETA(Occ_1))
IF (OOC.EQ.2) Ka = Ka*EXP(ETA(Occ_2))
..
$OMEGA
.1
.1 SAME

If 2) is the better approach of the two, would the simulation model not still 
be Ka=TVKA*EXP(ETA(IIV_Ka)+ETA(Occ)) for any subject, regards of no. of 
occasions?
(Ie. above manoeuvre would be only to avoid an estimation problem).

??

Thx. for any input

Thomas


____________________

Thomas Klitgaard
Principal Scientist
Biomodelling

Novo Nordisk A/S
Krogshøjvej 53 A
DK-2880 Bagsværd
Denmark
+45 4442 4960 (direct)
+45 3079 4960 (mobile)
[email protected]
www.novonordisk.com

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