Notebook: (Decision, Classification, Regression, Prediction) Trees in Statistics and Machine Learning bactra.org/notebooks/tree…

Home Alone still holds up

DAGs can be used to understand the mechanics of linear interaction analysis. Easy to see the zero correlation between the first-order and interaction terms after centering (though this is not the reason for centering). See more here: bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bm…

This looks good. DAGs for interaction terms. bpspsychub.onlinelibrary.wiley.com/doi/abs/10.111…

And another post on causal inference and social media and its effect on mental health. DAGs make a prominent appearance. As always, feedback welcome (especially if you think I am wrong). sjwild.github.io/blog/2024/11/3…

Looks like this might be worth a careful read.

New blog post on The 100% CI: Writing about technical topics in an accessible manner (by Julia Rohrer)

Chasing Shadows: How Implausible Assumptions Skew Our Understanding of Causal Estimands. Stijn Vansteelandt & Kelly Van Lancker. Statistics in Biopharmaceutical Research. tandfonline.com/doi/full/10.10…

Okay, psychologists. When did you collectively decide that an effect size of r = .1 is the cutoff for meaningful effect sizes? Source: sciencedirect.com/science/articl…

Econometrician introducing her new diff-in-diffs method to empirical economists.

Ended up thinking about South Park episodes for no reason today, and Casa Bonita is still one of the best.

🎉Preprint! EMA for mental health: How often should symptoms be measured? Using the Nyquist-Shannon Theorem from signal processing, we propose a theory-driven framework for optimal sampling. Collab with Eiko Fried, Mental mHealth Lab | KIT , Andreas Jansen osf.io/preprints/psya…

Looks good. Added to the reading list

Oooooooo arxiv.org/abs/2401.00649

Happy "Large boulder the size of a small boulder" Day to all who celebrate

Yiqing Xu Interesting paper! Thanks for posting. IIUC, your main concern with the GAM approach is that it targets the wrong estimand. If so, I feel that your criticism of the approach is kind of unfair, given that it's easy to target CME w/ GAM. See this notebook: arelbundock.com/hmx_simonsohn.…