RE: [NMusers] Parameter uncertainty

Hi Fanny, Likelihood profiles are very useful to asses parameter uncertainty. I am sure you find a tutorial somewhere how they work. A number of software packages automate the process quite a bit. They are usually much more computationally efficient than bootstrap. Warm regards, Douglas Eleveld

RE: [NMusers] Parameter uncertainty

Hi Fanny, As I understand it, you’re looking for ways to produce predictions according to your model taking into account parameter uncertainty. We’ve recently published on the importance of parameter uncertainty when considering probability of target attainment for antibiotic dosing regimens.

[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

Re: [NMusers] Parameter uncertainty

Hi Fanny, It is often good practice to fit parameters that must be positive on the log scale (by exponentiating them). That will ensure that when sampling from a normal distribution (and then exponentiating the sample) you will have a positive value. LLP was suggested, but it won't assess

RE: [NMusers] 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: owner-nmus...@globomaxnm.com [owner-nmus...@globomaxnm.com]" im Auftrag von "Fanny Gallais

[NMusers] PKPD-modeling in NONMEM Workshop 4-6 June

Dear all, Uppsala Pharmacometrics will give a 2.5-day course on Pharmacokinetic-Pharmacodynamic modeling of continuous and categorical data in NONMEM for intermediate and advanced users from 4th to 6th of June, in Budapest, Hungary, as a satellite workshop before PAGE 2017. The course presents

RE: [NMusers] Parameter uncertainty

Dear Fanny and Bill, The sampling importance resampling (SIR) approach [1] to characterize the parameter uncertainty address the aspects pointed out Bill. In my opinion this is currently in general the most widely applicable and accurate method to characterize parameter uncertainty for NLMEM

[NMusers] QSP Position at inVentivHealth

Dear NMUsers, inVentiv Health is seeking an enthusiast principal-level scientist, experienced in quantitative systems pharmacology, looking for a dynamic working environment to complement its pharmacometrics/QSP team, either as a home-based or on-site position. You will be part of a group that

RE: [NMusers] Parameter uncertainty

Dear Fanny, Another useful tool you may want to try is using the mrgsolve package available in R, developed by Kyle Baron at Metrum Research Group. I have found mrgsolve to be very efficient for PKPD simulation and sensitivity analysis in R. There is an example of incorporating parameter

[NMusers] Registration Open for April Workshop and PAGE Meeting 2017 Workshop - Presented by ICON

Registration is now open for the following workshops! Availability is limited, please register soon! April 3-day NONMEM/PDxPoP Workshop – April 4-6, 2017 – Howard County, Maryland – Business Training Center Days 1 & 2 – April 4 & 5

[NMusers] Pfizer Summer Intern opportunity-US-CT-Groton

Position: Summer Worker - Clinical Research Location: Unites States, Connecticut, Groton Duration: 10-14 weeks between May to August 2017 Application deadline: March 03, 2017 About Pfizer A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work

Re: FW: [NMusers] Parameter uncertainty

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