With great pleasure, I am handing over the leadership reins of @MetrumRG to @adprmichelle. The company’s future is bright and our mission to defeat disease remains.
@MetrumRG Thank you to ISoP and the nominators for this great honor. I believe this award is a reflection of the meaningful impact made by our entire mission-driven team at MetrumRG. I am so grateful to each one of them for the important work they do every day.
Congratulations Dr. Marc Gastonguay, recipient of the 2022 ISoP Leadership Award! Marc is a dedicated, service-driven leader of our company and our community. Well done, Marc!
Sharing my heartfelt gratitude for each and every member of the team @MetrumRG. Thank you for your dedication, efforts, and amazing contributions to our mission. #EmployeeAppreciationDay
Thank you @SDuffull for the opportunity to participate in this exciting seminar series! I enjoyed the thought-provoking interaction with faculty and students. In case anyone is interested, the presentation is openly available here: https://t.co/iQ2uI2tPDq
A fantastic talk from Marc @marcg_MetrumRG on Pharmacometrics and health economics at our Te AO International seminar series. @HeshamAlSallami @wrida959 (A silver lining of Covid [we never did this series before lockdown])
Another one of several #openscience examples at #ACoP11! Riggs et al implemented the work with the #opensource modeling tool @mrgsolve, and shared the modeling and simulation source code: https://t.co/LYVPpCo6F9
Today at #ACOP11 don't miss Matthew Riggs' poster #Tue-055 at 12:30 PM EDT. Learn how our Bone Health and Mineral Model was extended to explore hyperphosphatemia induced by FGFR inhibition.
Statistical M&S Scientists - If you're seeking a challenging and fulfilling career, join our team's efforts to fight diseases and grow the science of biomedical modeling and simulation. #Statistics#openscience#opensource https://t.co/WxmvDemEDG
Happy to support StanCon again this year! Lots of great sessions to check out today. Have a great meeting, everyone! @mcmc_stan https://t.co/VBDhWv44y5
Check out our very first issue of the ISoP Student Newsletter to learn more about the upcoming webinars, events, interns/post-doc positions!
Shout out to all the efforts from the Commincation team to make it happen! Thank you @zaid_temrikar @anne8rete @JaberTaz @ShenCheng20
New in mrgsolve 0.10.4: $NMEXT that works like $NMXML, but reads the nonmem root.ext file rather than root.xml. This speeds up mread when the model was estimated with METHOD=BAYES. Thanks @thwaterhouse for collaborating on this feature. https://t.co/G7NhIHpgr2
I’m grateful to Roger for his impactful and pioneering contributions to our field. His 1990 AMIA workshop was my first exposure to mixed effects models & Bayesian estimation - opened my eyes to the tremendous potential for mathematical modeling in clinical pharmacology.
@theRealDrWeber It may have been valuable to explore the decision process via simulation at the time when criteria were set. Include sim scenarios such as the border case you described. What additional evidence would be required to override original criteria?
@vijay_ivaturi@ISOP1 Good point @vijay_ivaturi . A shift in standards for publication in medical literature would help. We can contribute by presenting alternative measures of evidence (e.g. posterior predictive probability) when we have the opportunity.
Calling on pharma/biotech modeling and simulation scientists @ISOP1 to sign the petition, or better yet, abandon the use statistical significance in your work. #PMX#QSP#stats
Agreed! Trying to make inferences about exposure-response relationships from a study with single dose level (exposure is an outcome) is a similarly atrocious approach; risk of confusing disease severity for pharmacodynamics.