Re: Sensitive analysis
Hi Norman,
If you have the most recent PsN version, then there is functionality to
simulate with uncertainty in population parameters. PsN can use either the
nonmem cov matrix or (non-parametric) bootstrap for that purpose. Each
replicate dataset that is simulated would be simulated with a different set of
population parameters.
Unless you want to do a sensitivity analysis on parameters that you have fixed
in your analysis, I think this is exactly what you need.
Best regards
Jakob
Sent from my iPhone
Quoted reply history
On 19 Feb 2012, at 18:42, "Norman Z" <[email protected]> wrote:
> Hi Bill and Joe,
>
> Thank you very much for your suggestions.
>
> What I am asking is "How sensitive is the simulated PK profiles (summerized
> by AUC or Cmax) to changes in parameter y?".
>
> So instead of looking at the OFV change with different parameters, I want to
> summarize the result of the sensitive analysis. My goal is to obtain the AUC
> and Cmax for the predicted PK profiles (the model have multiple compartments,
> and I need to extract the AUC and Cmax for several compartments) with
> different parameter values.
> Does bootstrap or LLP in PsN out put all the intermediate simulation results?
>
> Kind regards,
>
> Norman
>
>