Dominique Makowski 🧙
@Dom_Makowski
Neuropsychologist & pizza lover 🍕 Lecturer @SussexUni 🇬🇧 Research on reality bending, consciousness, illusions ✨ #rstats #python @RealityBending_
It was an absolute pleasure to play with @NestorVG1 at @RyutaroUchiyama 's wedding in #Tokyo 🇯🇵 Congrats again man! 🤘
Very cool paper!
How do NEUROSCIENCE & PHILOSOPHY interact? How has their interaction changed over the last 40 years? @EugenioPetrovi1 provide a long answer to such question in our recent scientometric paper. An interesting read for all philosohers &/or neuroscientists link.springer.com/article/10.100…
🧑🔬💰 PhD Scholarship open for September at @SussexUni Great opportunity if you're interested in sleep, biological rhythms and signals, physical & mental performance, or elite sports. Application deadline: 25th July Details at: realitybending.github.io/jobs/phd/ #Psychology #PhD
Want a simple illustration of how results can be incredibly sensitive in small samples? Here you go! This visualization provides raincloud plots with N=20 (on the left) & N=500 (right). There is no difference between the two conditions other than the N. Statistical power…
🤯📈 TAKE YOUR STATS SKILLZ TO THE NEXT LEVEL WITH THIS #R PACKAGE 🔥The @easystats4u {modelbased} package (the successor of #ggeffects) is now published in @JOSS_TheOJ joss.theoj.org/papers/10.2110… Check it out for a demystification of marginal means, contrasts and effects #rlang
Does the culture you grow up in shape the way you see the world? In a new Psych Review paper, @chazfirestone & I tackle this centuries-old question using the Müller-Lyer illusion as a case study. Come think through one of history's mysteries with us🧵(1/13):
Great opportunity to do a PhD at Sussex with a wonderful supervisor!
PhD place available to study how #4dayweek changes mind, brain, & body 📈 🧠 ❤️ Looking for Psychology grad keen to learn occupational psychology, psychophysiology, & MRI brain scanning Experience with stats in R desirable. Deadline: 14 February. Details & how to apply 👇
Very cool visuals
For people who could not attend the #NeurIPS2024 tutorial on flow-matching, here is a friendly introduction! dl.heeere.com/conditional-fl…
{effectsize} version 1.0.0 has been released! 🍕👹 Not many changes in this update, but this is quite a milestone 🥳 - the second stable package from @easystats4u, with more to come soon! #rstats easystats.github.io/effectsize/
#statstab #225 An introduction to identifying statistical outliers in R with {easystats} Thoughts: Everyone knows outliers are detected by a z-score > 3! But if you wanna be "modern" try the {performance} pkg. #outliers #r #rstats #bias #zscores #robusr link.springer.com/article/10.375…
You can now check out the associated preprint for our software paper, which provides a quick dive into some of the features of SequentialSamplingModels.jl. arxiv.org/abs/2411.06631
My recent talk on developments in simulating Sequential Sampling Models using Julia just dropped—go check it out now! youtube.com/watch?v=whIoOU… #JuliaLang #Juliacon
The SEDARC #Postdoc fellowship competition call is out! Apply and get funding to do your postdoc at @SussexUni (deadline: 15 January 2025) realitybending.github.io/jobs/postdoc/#…
We're working on revisiting and homogenizing outputs from our #easystats packages. This includes consistent coloring of information/warnings/messages, but also: which information is useful in the output, which information should just go into the docs? WDYT?
Which of the following information below model output (last paragraph, not that one about uncertainty intervals) do you find useful/helpful and think it's worth printing? It's printed once per session. Should some/all information moved into the docs, or kept in output? #easystats