Re: pcVPC or NPDE
Dear Chenyan,
Appropriateness is largely a matter of what the ultimate purpose of the
model is, and neither metric will be 'better' in all cases. Extrapolating
into a new population may require different evaluation diagnostics than
using a model to optimize the dose the observed population.
Given you only have trough samples, using a posterior predictive check on
trough levels or equivalence criteria such as proposed in:
1.
Jadhav, P. R. & Gobburu, J. V. S. A new equivalence based metric for
predictive check to qualify mixed-effects models. *AAPS J* *7,* E523–E531
(2005).
would likely work well.
Devin Pastoor
Clinical Research Scientist, PhD student
Center for Translational Medicine
University of Maryland, School of Pharmacy
Quoted reply history
On Fri, Sep 11, 2015 at 10:38 AM ZhaoChenyan <[email protected]>
wrote:
> Dear all:
>
> I'm now having a set of TDM data, only troughs （C0 ） available.
> I intend to evaluated the appropriateness of the constructed model.
> My question is whether to use pcVPC or NPDE as a diagnostic tool in such a
> case?
> Which one is better?
> Or to use them both, as suggested by Bergstrand et al.: "The best
> practice most likely lies in using a wide toolbox of diagnostics, rather
> than one single universal test to decide whether a model is fit for purpose
> or not."
>
>
>
> Thank you in advance.
>
>
>
> Yours,
>
> Chenyan Zhao
>
> Email: *zhaochenyanvictory@**hotmail.com http://hotmail.com*
>
> Mobile: +86 13917430219
>
>
>