Job ad: Postdoc to work with me & @rogierk.bsky.social at the Donders on lifespan development questions from Sept onward! Profile: independent, good quant skills, interested in theory-driven work Please share widely www.careersatradboudumc.com/vacancies/po... #Postdoc #AcademicJobs

Ecological momentary assessment data are everywhere in the social and medical sciences. DSEM offers a great way of analyzing them, by coupling vector-ARIMA models for each individual through Bayesian priors, under the assumptions that two people in general at least share some similarity.

Dynamic structural equation modeling is very popular for ecological momentary assessment data, but the original algorithm contains an unnecessary bottleneck making latent variable modeling challenging. Here I propose the NUTS-Kalman algorithm, which replaces within-level sampling with a

well done Lior. There seems a subset of scientists who don’t understand probability and are convinced that statisticians are just pedantic killjoys determined to take their significant results away from them.

Ecological momentary assessment data are everywhere these days. In psychology, dynamic structural equation models (DSEMs) are particularly attractive for analyzing such data. In this paper Ethan McCormick and I show how you can easily incorporate nonlinear trends and cycles using splines.

Would could possibly go wrong with using AI to read raw data to generate graphs that will put straight into articles for publication in scientific journals? 🤷‍♂️

Oh joy! BDR found a subtle warning on Fedora with gcc15 with very strict compiler flags that threatened to kick my galamm #rstats pkg out of CRAN by Saturday. After a week of headscratching I managed to set up my old Ubuntu laptop to reproduce the error :-)

Very interesting from @VidalDidac - MUCH higher reliability for structural neuroimaging measures with longer follow-up time rather than more follow-ups or higher n. 2.-year follow-up requires 4 times higher n than 6-year follow up. @LCBC_UiO direct.mit.edu/imag/article...

Tomorrow last day for early-bird registration to PrefStat 2025, 2nd International Summer School on Preference Learning for Ranking and Ordinal Data (www.prefstat.org)! In Oslo, 30.06 – 04.07. Register here: www.integreat.no/events/publi... @valeriavitelli.bsky.social @ocbe.bsky.social @uio.no

Wow!

Preprint! The Bayesian Mallows model is a very flexible model for analyzing rank and preference data, and has been applied across a large number of domains. In many cases, however, the data naturally arrive sequentially in time. Existing Metropolis-Hastings algorithms scale poorly in this case

Does anyone know of a good quantitative methods textbook for the social sciences? Ideally not too tied to a given analysis program, and not too much ANOVA stuff. I'm teaching a course which covers experimental design, multiple regression, mixed models.

Just discovred quarto-webr, a quite amazing tool which lets you interactively write and evaluate R code within an html document. Live coding when teaching and presenting has never been easier!

Hello everyone, I'm Lea Michel, a 3-year PhD working at the Donders Institute with @rogierk.bsky.social on the interaction between grey and white matter in supporting cognitive development during childhood/adolescence. I'm also invested in science communication, open science and greener research 🌱

These results look better than one would expect, right? At least when coming from psychology.

Reskeet if you have never fobbed off a review onto a hapless grad student