Anthony
We've been working with extreme value Copula functions for conjoining survival
analyses in MATLAB. I wasn't sure, however, whether these could be implemented
easily in NONMEM.
Steve
-Original Message-
From: A.J. Rossini [mailto:blindgl...@gmail.com]
Sent: Wednesday, 22
Steve,
I've been hearing about copulas for a couple of years now but haven't
seen anything which reveals how they can be translated into the real world.
If we take the example I gave of hospitalization for heart disease and
death as being two 'correlated' events. Is there something like a
Nick -
The point of copulas is to write a pair of survival (or distribution)
functions in a way that you can add parameters to link them together
to describe the correlation structure. It's reasonably flexible.
Check out the stats literature, it's quite common, even in the applied
journals.
Dear all,
I try to model simultaneously a parent drug and its metabolite using a 2
compartments dynamic enzymatic model
(using the general enzymatic reaction E+S--(ES)--E+P).
Here is the control stream :
$PROB TEST MODELISATION NLIN 2CPMT
$INPUT ID TIME DV AMT MDV CMT
$DATA DATA131.csv IGNORE=#
Christian,
Is this infusion or oral dosing? If infusion, you need RATE data item, if oral,
you need absorption compartment.
Also, there is a problem with volumes. If A(1 ) and A(2) are amounts and A(3)
is concentration of the complex, you need to multiply KE2 * A(3) by V3 in
equation 2. And
Christian
There is at least one parameter you cannot estimate in this code, this is V2
(volume of distribution of the metabolite)
This parameter is not identifiable because the fraction of parent drug that is
metabolized is unknown and the volume of distribution simply relates the
