Nick,
Thanks for your comments. We (+ Andreas Steingötter + Rickmer Braren) are
more rooted in physiology, physics, and statistics, so critical response
from the PK marked is highly appreciated.
You wrote:
On the other hand if the goal is to estimate the size of one or more
critical
Dieter:
You can trust the fit. The negative eignvalue diagnostic arises from
evaluating the information matrix of the estimates evaluated after the fit.
Because this was constructed with Monte Carlo components, on occasion the
slight imprecision from calculating obscure off-diagonal elements
Dieter,
You ask:
My question: can we trust this fit?
The answer depends on why you are doing the modelling.
If your goal is to describe the time course of concentrations then the
overall ability of the model to describe what you saw depends on the
totality of the model and its parameters.
