RE: Weighting observations
Hi Robert,
Just wondering: what drug are you modeling? A beta-blocker? An ACE inhibitor?
My gut feeling tells me you should also incorporate some feedback between drug
effects like blood pressure, heart rate and urine output with these drugs based
on their mode of action instead of considering the observations as independent
and weighing them with a fixed residual error. In other words: don't you think
if one of your observed drug effects is a driving force of another one, that it
should be accounted for in your model?
Sincerely,
Rob
Quoted reply history
Van: [email protected] [mailto:[email protected]] Namens
Robert Kalicki
Verzonden: vrijdag 21 maart 2014 9:52
Aan: [email protected]
Onderwerp: [NMusers] Weighting observations
Dear NMusers,
I am modelling the effect of a given intervention on a multimodal outcome (ex.
PK of a parent drug and its metabolites or effect of a given drug on the blood
pressure, heart rate and urine output). For each observed variable I can define
an observation compartment and model the error. This works fine. However, for
some physiological reasons, I may want to give more weight to on an observed
variable which I believe to be the driving force.
How can I do this in NONMEM? Duplicating the observation of interest in my
model would be one possibility however this would increase the run time which
is already very long.
Many thanks in advance.
Robert
______________________________________________
Robert, Kalicki, Dr. med.
OA Neph
INSELSPITAL, Universitätsspital Bern
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