RE: Parameter uncertainty
Hi Fanny,
Likelihood profiles are very useful to asses parameter uncertainty.
I am sure you find a tutorial somewhere how they work.
A number of software packages automate the process quite a bit.
They are usually much more computationally efficient than bootstrap.
Warm regards,
Douglas Eleveld
Quoted reply history
From: [email protected] [mailto:[email protected]] On
Behalf Of Fanny Gallais
Sent: woensdag 15 februari 2017 11:55
To: [email protected]
Subject: [NMusers] Parameter uncertainty
Dear NM users,
I would like to perform a simulation (on R) incorporating parameter
uncertainty. For now I'm working on a simple PK model. Parameters were
estimated with NONMEM. I'm trying to figure out what is the best way to assess
parameter uncertainty. I've read about using the standard errors reported by
NONMEM and assume a normal distribution. The main problem is this can lead to
negative values. Another approach would be a more computational non-parametric
method like bootstrap. Do you know other methods to assess parameter
uncertainty?
Best regards
F. Gallais
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