RE: [NMusers] Parameter uncertainty

From: Max Taubert <max.taubert_at_uk-koeln.de>
Date: Wed, 15 Feb 2017 11:21:42 +0000

Dear Fanny,

I would use either bootstrapping or likelihood profiling, both of them are =
implemented in PsN ('bootstrap' and 'llp').

Kind regards
Max Taubert

________________________________
Von: owner-nmusers_at_globomaxnm.com [owner-nmusers_at_globomaxnm.com]" im Auftra=
g von "Fanny Gallais [gallais.fanny_at_gmail.com]
Gesendet: Mittwoch, 15. Februar 2017 11:55
An: nmusers_at_globomaxnm.com
Betreff: [NMusers] Parameter uncertainty

Dear NM users,

I would like to perform a simulation (on R) incorporating parameter uncerta=
inty. For now I'm working on a simple PK model. Parameters were estimated w=
ith NONMEM. I'm trying to figure out what is the best way to assess paramet=
er uncertainty. I've read about using the standard errors reported by NONME=
M and assume a normal distribution. The main problem is this can lead to ne=
gative values. Another approach would be a more computational non-parametri=
c method like bootstrap. Do you know other methods to assess parameter unce=
rtainty?


Best regards

F. Gallais





Received on Wed Feb 15 2017 - 06:21:42 EST

This archive was generated by hypermail 2.3.0 : Fri Sep 27 2019 - 16:53:47 EDT