Hi Mark,
Not sure about this but how about estimating THETAS scaling fix OMEGAs (e.g. CL
= THETA(1)*EXP(THETA(2)*ETA(1)) ; $OMEGA 1 fix)? Then you can implement the
prior in the same way for random effect parameters as you do for fixed effect
parameters.
Ps. Probably not be compatible with MU
Mark,
Without getting too technical, recall that the inverse wishart is a
distribution on matrices, and is naturally conjugate to the multivariate normal
distribution (i.e. on vectors of random variables.) Generally, this is chosen
because posterior computations are simplified and it is easy to
Is it possible to use a normal prior for OMEGA? The default is inverse Wishart,
but I'd be interested in using Normal (insuring that it is positive definite)
Any ideas?
thanks
Mark Sale M.D.
Vice President, Modeling and Simulation
Nuventra Pharma Sciences, Inc.
2525 Meridian Parkway, Suite 28
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Dear Nathalie
In answer to your question; yes, it is usual to see this "unstability" in
the final few iteration OFVs.
When using the IMP method, I often include two sequential $EST commands. The
first command will perform optimisation of parameter estimates until a
global minimum is found. Th