New on ScienceOpen 🚀

All International Conferences on #Pharmacometrics (ICoP) Series publications from 2025 are now live on ScienceOpen.

🔗 Link to the 2025 ICoP Series publications in the first comment.
#Pharmacology #LifeSciences #QuantitativeBiology #OpenScience

The estimand framework, formalized in ICH E9(R1) regulatory guidance, provides a structured approach to define scientific objectives with precision. We apply the estimand framework to dose–exposure–response analyses. ... strategy to improve exposure–response analyses for dose selection, particularly when the relevant evidence includes data from multiple studies.

#estimand #exposure-response #dose-response #causal #pharmacometrics #pmx

https://doi.org/10.1002/psp4.70202

To fully realize the potential of our clinical trials, we must go beyond randomization, and use causal inference and pharmacometric modelling and simulation. Advancing both we show that non-linear mixed effects modelling implements the equivalent of standardization in causal inference. Dive into this if you're into #causal #causalinference #DAGs #pharmacometrics, or clinical development #stats.

https://doi.org/10.1002/psp4.13239

Hello to all our new followers! We’re delighted that so many are interested in our modest little project.

Our mission is to make #Pharmacometrics accessible to everyone, regardless of where they live and how much money their institutions have. The gold standard tools in our field typically cost >100K US$ per year for a reasonable license. We cost US$ 0.

Help us change the world! (Well, our tiny corner of it in any case)

Episode 90 with Charles Margossian is out!
We cover methods like variational inference & MCMC sampling and then dive into Charles' work in #pharmacometrics to see these methods applied!

We're also on Youtube now, in case you want to add a face to our voices: https://www.youtube.com/watch?v=wEKqznbHHQw