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

Another pharmacometrics #rstats post, this time about running simulations with mrgsolve

https://blog.djnavarro.net/mrgsolve

Finally managed to get started with Torsten

https://blog.djnavarro.net/torsten/

After a false start yesterday I've written up a blog post on population pharmacokinetic models in Stan and #rstats. I'm honestly not sure who the audience for this one is. In truth I wrote it to teach myself something, so the audience might just be me. But it's there now so I might as well share 🙂

https://blog.djnavarro.net/pop-pk-models/

Automatic Conversion between NONMEM and nlmixr2 models!

The nlmixr2/rxode2 team is excited to announce a tool to help conversion of NONMEM to rxode2 or nlmixr2 fits with nonmem2rx and babelmixr2

See

http://localhost:3372/blog/2023-06-02-nonmem2rx-and-babelmixr2/

A couple of blog posts on pharmacokinetic models that I hadn't gotten around to sharing before:

https://blog.djnavarro.net/non-compartmental-analysis/

https://blog.djnavarro.net/stan-ode/

The first one talks about non-compartmental analysis and has some very simple R code, the second one dives a little deeper and talks about compartmental models - which often require you to use an ODE solver in the model - in Stan and R.

I'm still learning pharmacokinetics so they're a little rough around the edges

#rstats

The pharmacometrics group led by France Mentré and Jérémie Guedj (UMR1137 INSERM, Université Paris Cité) is hosting the third Stan  for Pharmacometrics event on the 8th June in Paris.

This one day-conference will feature several speakers, including Andrew Gelman and Aki Vehtari @avehtari. More speakers will be confirmed soon (the tentative list is great).

A preliminary program and details for free registration are available at https://stan4pmx.sciencesconf.org/

#Stan #Bayesian

Very nice piece of work by Jim Rogers and colleagues. Essential reading for any pharmacometrician. #Pharmacometrics #CausalInference

https://ascpt.onlinelibrary.wiley.com/doi/10.1002/psp4.12894?utm_content=231057168&utm_medium=social&utm_source=twitter&hss_channel=tw-55577144