RE: Parameter uncertainty

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: [email protected] [[email protected]]" im Auftrag von "Fanny Gallais [[email protected]] Gesendet: Mittwoch, 15. Februar 2017 11:55 An: [email protected] Betreff: [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