Re: %RSE for IIV when expressed as %CV instead of variance
Dear All,
Thank you so much for your responses!
I was looking into estimating the RSE for ETA estimates (IIV) when they are
express in %CV instead of variance. I will apply the methods provided.
Thanks again!
Best,
Anita
*Anita Moein*
Senior Scientist
Modeling and Simulation | Clinical Pharmacology | Genentech
Phone: (650) 866 7701 | Cell: (415) 254 7972
Quoted reply history
On Sat, May 11, 2024 at 12:09 PM Nick Holford <[email protected]>
wrote:
>
>
> Thanks to Karam who retrieved the quote I mentioned from Stuart Beal.
>
>
>
>
>
> --
>
> Nick Holford, Professor Emeritus Clinical Pharmacology, MBChB, FRACP
>
> mobile: NZ+64(21) 46 23 53 ; FR+33(6) 62 32 46 72
>
> email: [email protected]
>
> web: http://holford.fmhs.auckland.ac.nz/
>
>
>
> *From:* karam alali <[email protected]>
> *Sent:* Saturday, May 11, 2024 7:31 PM
> *To:* Nick Holford <[email protected]>
> *Subject:* Re: [NMusers] %RSE for IIV when expressed as %CV instead of
> variance
>
>
>
> Hi Prof. Nick,
>
>
>
> I got a capture of the original quote from web archive:
>
>
>
>
> https://web.archive.org/web/20050117183801/ http://gaps.cpb.ouhsc.edu/nm/91sep2697.html
> https://web.archive.org/web/20050117183801/http:/gaps.cpb.ouhsc.edu/nm/91sep2697.html
>
>
>
> Best Regards,
>
>
>
> Karam Alali
>
> Ph.D. Candidate
>
> Universiti Sains Malaysia
>
>
>
> On Sun, 12 May 2024, 2:10 am Nick Holford, <[email protected]>
> wrote:
>
> Hi Anita,
>
>
>
> Some history on expressing the variance estimate of the random effects of
> a parameter can be found here:
>
>
> https://web.archive.org/web/20050117183801/ http://gaps.cpb.ouhsc.edu/nm/91sep2697.html
> https://web.archive.org/web/20050117183801/http:/gaps.cpb.ouhsc.edu/nm/91sep2697.html
>
> Stuart Beal wrote about this issue in 1997 and cautioned that
> the interpretation is in the eye of the user because NONMEM does
> not require ETAs to be normally distributed: "Many discussions state that
> ETA is assumed to be normal, but these are often misleading. While there
> are sometimes good reasons for making this assumption, the NONMEM
> methodology largely avoids the assumption." He proposed the term "apparent
> coefficient of variation" as a way of implying a normal distribution of
> ETA. "Since we do not need to make the normality assumption, it does
> not follow that the "extra accuracy" given by the lognormal formula
> really represents extra accuracy; it can just as well be garbage. Suppose
> we want to really do the right thing, and CV is large (perhaps as
> a pragmatic matter, we will judge the CV to be large when the results from
> the two formulas differ substantially). Then we should probably avoid
> reporting the CV as a "CV", but report it as an "apparent CV"."
>
>
>
> Unfortunately, the original quote that I cited from Stuart Beal (the
> originator of NONMEM) no longer seems to be available.
>
> http://gaps.cpb.ouhsc.edu/nm/91sep2697.html
>
> In the example you provide you mention ETA so presumably you are referring
> to random parameter variability not residual error. I encourage you not to
> use the acronym “IIV” because without other information is not clear if
> this means “inter individual variability” (e.g. PPV, population parameter
> variability of a parameter) or “intra individual variability” describing
> residual unexplained variability, RUV (“residual error”).
>
> The relative standard error can be estimated using a non-parametric
> bootstrap by dividing the standard deviation of the bootstrap distribution
> by the average of the bootstrap distribution of the parameters. The
> non-parametric BS does not make the assumption that the uncertainty of the
> parameters is normal and therefore symmetrical.
>
> Best wishes,
>
>
>
> Nick
>
>
>
> NOTE: The address for Anita Moein [email protected] was bounced by the
> University of Auckland email server. This may be linked to the red warning
> shown below.
>
>
>
> --
>
> Nick Holford, Professor Emeritus Clinical Pharmacology, MBChB, FRACP
>
> mobile: NZ+64(21) 46 23 53 ; FR+33(6) 62 32 46 72
>
> email: [email protected]
>
> web: http://holford.fmhs.auckland.ac.nz/
>
>
>
> *From:* [email protected] <[email protected]> *On
> Behalf Of *Anita Moein
> *Sent:* Saturday, May 11, 2024 3:09 PM
> *To:* [email protected]
> *Subject:* [NMusers] %RSE for IIV when expressed as %CV instead of
> variance
>
>
>
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> Dear All:
>
>
>
> I have a question regarding reporting ETAs as %CV instead of variance.
>
>
>
> In NONMEM the IIV estimate is reported as variance with associated RSE%.
>
>
>
> How can I convert the IIV Estimate and RSE% to report it as CV%?
>
>
>
> Thank you!
>
>
>
> Best,
>
> Anita
>
>
>
>
>
>
>
>
> *Anita Moein*
>
> Senior Scientist
>
> Modeling and Simulation | Clinical Pharmacology | Genentech
>
> Phone: (650) 866 7701 | Cell: (415) 254 7972
>
>
>
>
>
>