New short paper forthcoming in Statistics & Probability Letters:
An objective non-local prior for skew-symmetric models.
arxiv.org/abs/2603.08285
This paper develops a Moment-Objective Minimum-Discrepancy (MOOMIN) Prior for testing symmetry against skew-symmetric alternatives.
10.03.2026 07:19
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Super excited to see that somebody finally wrote about this π₯³
If you do research about research, you really need causal thinking (just like when you do research about anything else really).
27.01.2026 11:08
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I'd say the fact you can immediately question the appropriateness of the visualization speaks for its usefulness :)
And even though it's not quite publication ready, it still seems like a very good first choice during exploratory analyses
24.01.2026 12:13
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Interesting take! Feels intuitively correct, but I think it's something that probably could be tested empirically.
10.12.2025 19:14
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Have you seen this gem of a resource for #DataViz with R?!
06.12.2025 15:06
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The AI Summit is today! We look forward to celebrating the opening of ELLIS Institute Finland and hearing from stellar speakers in AI research, business and government. Tune in to the livestream areena.yle.fi/1-76514739 starting at 10:00 EET. Check out the program here: aisummit.fi
@ellis.eu
17.11.2025 07:02
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First page of Opinion piece: "Conceptual and methodological flaws undermine claims of a link between the gut microbiome and autism"
The link between the gut #microbiome and autism is not backed by science, researchers say.
Read the full opinion piece in @cp-neuron.bsky.social: spkl.io/63322AbxpA
@wiringthebrain.bsky.social, @statsepi.bsky.social, & @deevybee.bsky.social
13.11.2025 16:00
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Did we ever settle whether masks work against COVID19? It seemed like a very important scientific question to determine whether that particular cluster of proteins follows the same laws of physics that others do π
10.11.2025 12:17
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The Medical Evidence Project
We find bad research that affects health and life
I had a lovely catch up chat with @jamesheathers.bsky.social at the weekend. I am thoroughly inspired by the work he and team are doing at the Medical Evidence Project. They act on tip offs for fraudulent and/or inaccurate science used to shape medical practice. Know any? medicalevidenceproject.org
10.11.2025 08:30
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I definitely think the local experience can vary a lot, certainly across native vs non-native English speaking crowds. No one in my current environment is a native speaker and it's quite normal to see open ChatGPT tabs being used to help translate/rephrase/check grammar/etc.
10.11.2025 09:37
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Very cool (from Ehm-Gneiting-Jordan-KrΓΌger, JRSSB 2016): for mean estimation, all consistent scoring rules can be obtained as conic combinations of 'extremal' consistent scoring rules, with an explicit structure. Similar results hold for quantiles (and perhaps other tasks as well!).
09.11.2025 17:04
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PubPeer - Prevention of acute myocardial infarction induced heart fail...
There are comments on PubPeer for publication: Prevention of acute myocardial infarction induced heart failure by intracoronary infusion of mesenchymal stem cells: phase 3 randomised clinical trial (P...
I appreciate @bmj.com follows a formal process, but just how much evidence do they need before adding an Expression of Concern.
Numerous PubPeer comments for stem cell for heart disease paper - which had huge media attention hailing it as a medical breakthrough.
pubpeer.com/publications...
09.11.2025 10:42
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Causality
I am excited to share that I am looking for a #postdoc with an interest in causal machine learning to join my lab at TU Dortmund University and RC Trust. #hiring #causality #ML #AI
π
03.12.25
Group: rc-trust.ai/groups/causa...
Details: tinyurl.com/4622p6at
05.11.2025 09:37
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Multiverse analysis! ποΈποΈ
08.11.2025 22:30
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Introduction to Bayesian Statistics in R & brms - YouTube
The course offers a straightforward and practical approach to applied statistics using Bayesian inference for ecologists.
You can now find a recording of my course "Introduction to Bayesian Statistics in R & brms" on youtube.
Slides & code available here: github.com/benjamin-ros...
#Rstats
07.11.2025 14:17
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Please Avoid detectCores() in your R Packages
The detectCores() function of the parallel package is probably one of the most used functions when it comes to setting the number of parallel workers to use in R. In this blog post, Iβll try to explai...
The detectCores() apocalypse is creeping up on us π»π
As more people are getting access to 128+ CPU cores, code spinning up parallel cluster with detectCores() workers fails - not enough #RStats connections available
Friends, do *not* default to detectCores(), bc www.jottr.org/2022/12/05/a...
05.11.2025 23:55
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Now I'm also looking for a research software engineer to implement a pile of research results to R packages loo, posterior, bayesplot, projpred, priorsense, brms or/and Python packages ArviZ, Bambi and Kulprit. Apply by email with no specific deadline (see contact info at users.aalto.fi/~ave/)
03.11.2025 11:13
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A "methods primer" article in the journal "BMJ Medicine", titled "Factors associated with: problems of using exploratory multivariable regression to identify causal risk factors"
We wrote an article explaining why you shouldn't put several variables into a regression model and report which are statistically significant - even as exploratory research. bmjmedicine.bmj.com/content/4/1/.... How did we do?
27.10.2025 17:39
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βMultiverse analyses require thorough, theory-based model selection. Otherwise, they become a βdangerous toolβ that drowns valid models in misspecified ones, needlessly eroding trust in science.β
A plea for thoughtful models by @kauspurg.bsky.social
#MetaSci
21.10.2025 16:18
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There is a very nice intro from the lovely people at @coderefinery.org. I'm linking directly to the photography analogy they use to explain staging vs commiting because that was an "I finally get it π€―" moment for me:
coderefinery.github.io/git-intro/br...
21.10.2025 16:16
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FAIRness differed mainly by repository, with GitHub and OSF showing lower median scores than PsychArchives, Zenodo, and Figshare
How FAIR is shared data in psychology?
We analyzed 11,384 datasets (2013β2024): They're findable, but less reusable!
What relates most to differences in FAIRness? #Repository choice.
π Preprint: doi.org/10.23668/psy...
@mariogollwitzer.bsky.social @kaisassenberg.bsky.social #metascience #SciSci
21.10.2025 05:48
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Write code to make being human easier. Rip code out if it makes being human harder. Write code to make caring for each other easier. Rip it out if it makes caring for each other harder.
Empathy driven development has literally never failed me. Itβs done me better than everything else combined
21.10.2025 00:56
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New DP @i4replication.bsky.social: Meta-analysis on green nudges correcting for publication bias. "Behavioral interventions on households and individuals are unlikely to deliver material climate benefits." www.econstor.eu/bitstream/10...
09.10.2025 09:36
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Elucidating some common biases in randomized controlled trials
using directed acyclic graphs
Although the ideal randomized clinical trial is the gold standard for causal inference, real randomized trials often suffer
from imperfections that may hamper causal effect estimation. Stating the estimand of interest can help reduce confusion
about what is being estimated, but it is often difficult to determine what is and is not identifiable given a trialβs specific
imperfections. We demonstrate how directed acyclic graphs can be used to elucidate the consequences of common imperfections,
such as noncompliance, unblinding, and drop-out, for the identification of the intention-to-treat effect, the total
treatment effect and the physiological treatment effect. We assert that the physiological treatment effect is not identifiable
outside a trial with perfect compliance and no dropout, where blinding is perfectly maintained
Table 1 showing the Identifiability of target estimands depending on whether there is blinding, full compliance, and no drop-out
An example DAG from the paper.
Fig. 4: A blinded trial with noncompliance.
U are unobserved confounders, Z is treatment assignment, C is compliance, X is the realized treatment, S is the subject's physical and mental health status, Xself and Xcln are the treatment that the participant and the clinician believed the participant received, Y is the outcome.
Just finished reading this *excellent* article by Gabriel et al. which discusses which effects can be identified in randomized controlled trials. With DAGs!>
link.springer.com/article/10.1...
02.10.2025 08:09
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Took part yesterday in @freieuniversitaet.bsky.social's Replication Games, it was such a nice experience! People were lovely and the work was a very fun challenge.
Thanks to @i4replication.bsky.social and @janmarcus.de for organizing this, it was absolutely worth enduring the ride from Dortmund. π
01.10.2025 16:40
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π¨I4R is looking to hire postdoc fellows in public health and computer science!
The postdoc will join a team of researchers and help mass reproduce studies in leading public health journals or develop AI replicator agents.
Info π
30.09.2025 18:18
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