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 number: for run03 runn="03"; ii is the inter-dose interval
sdtab<-get(paste("sdtab",runn,sep=""))
last<-floor(sdtab$TIME/ii)*ii # defines
time at which last dose was administrated
sdtab$IDV<-sdtab$TIME-last
assign(paste("sdtab",runn,sep=""),sdtab,envir = .GlobalEnv)
}
I hope this script is useful for your problem.
Regards,
Alejandro Pérez Pitarch
Pharmacy Department
University Clinical Hospital of Valencia
2016-12-20 12:45 GMT+01:00 de Almeida, Camila <
camila.dealme...@astrazeneca.com>:
> 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 NONMEM problem.
>
>
>
> My aim is to run a VPC on a model I implemented, and if possible change
> the idv to TAD instead of TIME. The reason for that is the VPC graph based
> on TIME looks dreadful as the data is sparse and from different studies of
> different lengths.
>
>
>
> I’m having issues generating the TAD output column from my NONMEM run. I
> naively assumed I could easily do that, but looking at the NONMEM archives
> it seems this gets tricky when your dosing events are written using ADDL.
> Has anyone ever managed to find a solution for this? And if not, is there
> an alternative way to run the VCP on TAD, do we really need to get this
> column from NONMEM’s output?
>
>
>
> Thanks all,
>
>
>
> *Camila de Almeida, PhD*
>
> PKPD Scientist,
>
> *Modelling & Simulation, IMED Oncology DMPK*
>
>
> *________________________________________________________________________________*
>
> *AstraZeneca UK Limited*
>
> *R&D, Innovative Medicines*
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