Thanks Maria and all the others for the quick reply,
I don’t have a lag time, also the number of additional doses vary between
individuals, so this code below from Maria seems to work wonderfully.
I am using psn to run the vpc plots and although I need to adjust some of the
input parameters it
Hi Camila.
If you have access to R, consider the github package "tad" identified below.
It supports calculation of TAD as a column in your dataset, explicitly
considering ADDL. Let me know if you have issues installing or operating. The
following worked for me.
Regards,
Tim
Hi Camila
If you don't have a lag time, use the following:
$PK
IF(NEWIND.LT.2) THEN
IFL=0
TAD=0.0
ENDIF
IF(EVID.EQ.1.OR.EVID.EQ.4)DTIME=TIME
IF(DOSTIM.NE.0.)DTIME=DOSTIM ; non-event dose times
TAD=TIME-DTIME
If you have a lag time, use:
IF(NEWIND.LT.2) THEN
TAD=0.0
DTIME=1.0E+06
ENDIF
Hi Camila,
It sounds like you've got two questions here-- one related to NONMEM and
one related to the other program you're using to create your VPC. The
NONMEM question appears to be "How do I get TAD in my data without
changing my dataset?" The second question appears to be "How to I
Hi,
I'm not sure what data you're analysing and what your dosage schedules and
sampling are but if ADDL is the same for each patient you could create a new
variable (TVPC) and simply deduct that additional dosing history from your
cumulative time from when you restarted the system (EVID=3 or
Hi Camila,
I had this same issue some time ago and, given that in my dataset all
Interdose Intervals (II) were constant for all the patients, I used the
following R function to get a TAD column (IDV in my dataset):
InsertIDV<-function(runn,ii){ # runn is the
run
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Hello,
I was wondering if I could get some guidance from this great group. My issue is
primarily with some diagnostic analysis, but this is taking me back to an old
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My aim is to run a VPC on a model I implemented, and if possible change the idv
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