, 2020 12:38 PM
To: Leonid Gibiansky ; Patricia Kleiner
; nmusers@globomaxnm.com
Subject: RE: [NMusers] Variability on infusion duration
Similar to Leonid's solution, you can try using an exponential distribution:
D1 = DUR*(1-EXP(-EXP(ETA(1
The exponential within an exponential gives left
ust 5, 2020 12:51 PM
To: Patricia Kleiner ;
nmusers@globomaxnm.com
Subject: Re: [NMusers] Variability on infusion duration
may be
D1=DUR*EXP(ETA(1))
IF(D1.GT.DocumentedInfusionDuration)
D1=DocumentedInfusionDuration
On 8/5/2020 12:18 PM, Patricia Kleiner wrote:
Dear all,
I am developing a PK mode
>>> The exponential within an exponential gives left skew and ensures that D1 ≤
>>> DUR.
>>> For subjects who you know had an incomplete infusion duration, I would add
>>> an indicator variable (1 if incomplete, 0 if full duration) so that the
>>> subject
Dear Patricia,
Your infusion time will not be semantically distributed.
I suppose maximum distribution toward planned DUR. But you may have left
half of the distribution curve with maximum value of predetermined infusion
time.
So model is likely to be
D1* (1-abs(THETA(1)*EPA(1)))
On Wed, Au
gt;
> D1 = DUR*(1 - Incomplete*EXP(-EXP(ETA(1
>
> Thanks,
>
> Bill
>
> -Original Message-
> From: owner-nmus...@globomaxnm.com On Behalf
> Of Leonid Gibiansky
> Sent: Wednesday, August 5, 2020 12:51 PM
> To: Patricia Kleiner ; nmusers@globomaxnm.c
gt;
> D1 = DUR*(1 - Incomplete*EXP(-EXP(ETA(1
>
> Thanks,
>
> Bill
>
> -Original Message-
> From: owner-nmus...@globomaxnm.com On Behalf
> Of Leonid Gibiansky
> Sent: Wednesday, August 5, 2020 12:51 PM
> To: Patricia Kleiner ; nmusers@globomaxnm.c
12:51 PM
To: Patricia Kleiner ; nmusers@globomaxnm.com
Subject: Re: [NMusers] Variability on infusion duration
may be
D1=DUR*EXP(ETA(1))
IF(D1.GT.DocumentedInfusionDuration) D1=DocumentedInfusionDuration
On 8/5/2020 12:18 PM, Patricia Kleiner wrote:
> Dear all,
>
> I am developing a PK mo
Just realized the typical value of this estimate cannot be 1.0. You may need
other transformation.
Sam
> On August 5, 2020 9:59 AM Sam Liao wrote:
>
>
> Dear Patricia,
> This distribution might to analogous to relative bioavailability estimate,
> which is bounded between 0 to 1. Typically,
Dear Patricia,
This distribution might to analogous to relative bioavailability estimate,
which is bounded between 0 to 1. Typically, we use the logit-transformation in
F1 estimate.
For example:
m1 = log(θ1/(1- θ1))
EE1 = m1 + η1
F1 = exp(EE1)/[1 +exp(EE1)]
Best regard
may be
D1=DUR*EXP(ETA(1))
IF(D1.GT.DocumentedInfusionDuration) D1=DocumentedInfusionDuration
On 8/5/2020 12:18 PM, Patricia Kleiner wrote:
Dear all,
I am developing a PK model for a drug administered as a long-term
infusion of 48 hours using an elastomeric pump. End of infusion was
documented
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