l compartments.)
>
> Thanks,
>
> Bill
>
> -Original Message-
> From: Leonid Gibiansky <lgibian...@quantpharm.com>
> Sent: Tuesday, March 13, 2018 9:34 PM
> To: Sebastien Bihorel <sebastien.biho...@cognigencorp.com>; Bill Denney
> <wden...@humanpredic
tien.biho...@cognigencorp.com>; Bill Denney
<wden...@humanpredictions.com>
Cc: NMUsers <nmusers@globomaxnm.com>
Subject: Re: [NMusers] Time-Varying Bioavailability on Zero-Order Infusion
Hi Bill,
I think the proposed original solution is the only one if you would like to
implement i
Hi Bill,
I think the proposed original solution is the only one if you would like
to implement it exactly. May be it can be approximated somehow? What is
the real reason for this questions? What is the biology behind the
time-variant IV bioavailability? Or what is the model mis-fit that you
gnigencorp.com>
Cc: "NMUsers" <nmusers@globomaxnm.com>
Sent: Tuesday, March 13, 2018 9:21:00 PM
Subject: RE: [NMusers] Time-Varying Bioavailability on Zero-Order Infusion
Hi Sebastien,
Thanks for that suggestion!
Unfortunately, that will only update when I have observ
>
*Subject:* Re: [NMusers] Time-Varying Bioavailability on Zero-Order Infusion
Hi,
I would suggest the following solution which should also work if you want
to apply some covariate effect on bioavailability:
* On the dataset side, set your RATE variable to -1 and store the actual
infusion
om>
Sent: Tuesday, March 13, 2018 9:16:56 PM
Subject: Re: [NMusers] Time-Varying Bioavailability on Zero-Order Infusion
Hi,
I would suggest the following solution which should also work if you want to
apply some covariate effect on bioavailability:
* On the dataset side, set your RATE var
Hi,
I would suggest the following solution which should also work if you want to
apply some covariate effect on bioavailability:
* On the dataset side, set your RATE variable to -1 and store the actual
infusion rates into another variable, eg IVRATE
* On the model side:
$PK
...
;
