The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Better Dose Decisions and a Culture of Statistical Innovation

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Highlights and timestamps

  • 06:09 — Rethinking dose selection with Project Optimus
  • 13:11 — Exploring the U-DESPE approach to dose optimization
  • 23:07 — How a small team drives statistical innovation
  • 29:46 — Moving from everyday challenges to meaningful research
  • 32:02 — Creating an environment where innovation can thrive

Links and resources

Saryga
https://saryga.com/

Marie-Karelle Rivière and Anaïs Andrillon — Profiles and Publications
https://saryga.com/about/

Anaïs Andrillon on LinkedIn
https://www.linkedin.com/in/ana%C3%AFs-andrillon-phd-677a89b5/

Marie-Karelle Rivière https://www.linkedin.com/in/marie-karelle-riviere-38342011/

PSI Presentation Slides — U-DESPE
https://www.psiweb.org/docs/default-source/conference/2026-conference-slides/tuesday-16-june/5-epsig_andrillon_anais__micallef_sandrine.pdf?sfvrsn=6b4ca9db_1

PSI Early Phase Special Interest Group
https://www.psiweb.org/sigs-special-interest-groups/early-phase

PSI Special Interest Group Contacts
https://psiweb.org/sigs-special-interest-groups/sigs/sig-lead-contacts

Previous Episode — Project Optimus and What You Need to Know About It
https://theeffectivestatistician.com/project-optimus-and-what-you-need-to-know-about-it/

FDA Project Optimus
https://www.fda.gov/about-fda/oncology-center-excellence/project-optimus

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About this podcast

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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