Re: FW: Parameter uncertainty

From: Leonid Gibiansky Date: February 15, 2017 technical Source: mail-archive.com
One of the tools available for simulations is Metrum R package metrumrg install.packages("metrumrg", repos=" http://R-Forge.R-project.org";) Example of applications can be found here: http://www.page-meeting.org/page/page2006/P2006III_11.pdf Since the time it was written (2005-2006), Nonmem enhanced the simulations options, so now you can simulate from the model-estimated uncertainty directly from Nonmem. The R package could be useful if you do it from the bootstrap results. Leonid > *From:*[email protected] > [mailto:[email protected]] *On Behalf Of *Fanny Gallais > *Sent:* Wednesday, February 15, 2017 5:55 AM > *To:* [email protected] > *Subject:* [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 > > *NOTICE: *The information contained in this electronic mail message is > intended only for the personal and confidential use of the designated > recipient(s) named above. This message may be an attorney-client > communication, may be protected by the work product doctrine, and may be > subject to a protective order. As such, this message is privileged and > confidential. If the reader of this message is not the intended > recipient or an agent responsible for delivering it to the intended > recipient, you are hereby notified that you have received this message > in error and that any review, dissemination, distribution, or copying of > this message is strictly prohibited. If you have received this > communication in error, please notify us immediately by telephone and > e-mail and destroy any and all copies of this message in your possession > (whether hard copies or electronically stored copies). Thank you. > > Personal data may be transferred to the United States of America and, if > this occurs, it is possible that US governmental authorities may access > such personal data. > > buSp9xeMeKEbrUze
Feb 15, 2017 Fanny Gallais Parameter uncertainty
Feb 15, 2017 DJ Eleveld-Ufkes RE: Parameter uncertainty
Feb 15, 2017 Max Taubert RE: Parameter uncertainty
Feb 15, 2017 William Denney Re: Parameter uncertainty
Feb 15, 2017 Pieter Colin RE: Parameter uncertainty
Feb 15, 2017 Martin Bergstrand RE: Parameter uncertainty
Feb 15, 2017 Leonid Gibiansky Re: FW: Parameter uncertainty
Feb 15, 2017 Jason Williams RE: Parameter uncertainty
Feb 16, 2017 Fanny Gallais Re: Parameter uncertainty
Feb 16, 2017 Marc Gastonguay Re: Parameter uncertainty
Feb 16, 2017 Jacob Leander RE: Parameter uncertainty