Just discovered the Causal Quartet by @lucystats.bsky.social@travisgerke.bsky.social@malcolmbarrett.malco.io#rstats

Here is a blog post on using Generalized Additive Models (GAMs) for meta-analysis or, more specifically, meta-regression in {brms}: matthewbjane.com/blog-posts/b...

Generalized Additive Models (GAMs) for Meta-Regression using brms – Matthew B. Jané

A GAM is a linear or generalized linear model that allows you to model non-linear relationships using splines, smooth functions that allows to model the “wiggiliness” in the data. To my knowledge ther...

As suggested by Tim, let’s look back at one of my early papers as a skeetutorial. I haven’t looked at this paper probably since it was published, so let’s see if I learned anything in the past 8 years #EpiSkybsky.app/profile/timp...

Have just written my favorite response to a reviewer comment ever

With #TargetTrialedhub.ama-assn.org/jn-learning/...

Target Trial Emulation for Causal Inference From Observational Data With Dr Hernán

Miguel A. Hernán, MD, DrPH, professor of epidemiology, Harvard T.H. Chan School of Public Health, discusses Target Trial Emulation: A Framework for Causal Inference From Observational Data with JAMA Statistical Editor Roger J. Lewis, MD, PhD.

"Ratios in regression analyses with causal questions" - interesting new paper in @amjepi.bsky.social#EpiSkyacademic.oup.com/aje/advance-...

So literally everyone involved in science should watch this #CCR24 stream about steroids in CAP

#statsyoutube.com/@matthewbjan...

Matthew B. Jané

The horror twist of course is that it turns out the skeleton is also me

Trying to increase my practical knowledge of adjusting my models to accommodate different distributions. Any suggestions on good resources on how to further probe + remedy potential concerns highlighted by posterior predictive checks? #Rstats#StatsSky