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Mark Andrews

@xmjandrews.bsky.social
733 followers 2.5K following 10 posts

Associate professor of statistical methods, Nottingham Institute of Psychology, Nottingham Trent University. Statistics, Data science, Bayesian methods, R, Python, Open science, etc.

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Mark Andrews @xmjandrews.bsky.social · 31/03/2026
🎲 Online course: Introduction to Bayesian Data Analysis in R 🗓 24–26 June 2026 Bayesian inference, MCMC with brms/Stan, linear models, GLMs, mixed effects, model comparison. www.ntu.ac.uk/course/short-courses/…
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Mark Andrews @xmjandrews.bsky.social · 31/03/2026
🔢 Online course: Multilevel & Mixed Effects Models in R 🗓 10–11 June 2026 Regression for hierarchical data: random intercepts & slopes, nested/crossed structures. www.ntu.ac.uk/course/short-courses/…
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Mark Andrews @xmjandrews.bsky.social · 31/03/2026
📈 Online course: Generalised Linear Models in R 🗓 27–28 May 2026 Regression for non-normal data: logistic (binary, ordinal, multinomial), Poisson, neg-binomial, zero-inflated etc. www.ntu.ac.uk/course/short-courses/…
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Mark Andrews @xmjandrews.bsky.social · 31/03/2026
📊 Online course: Introduction to Statistics Using R and RStudio 🗓 13–14 May 2026 Hands-on intro to R & RStudio (including tidyverse, RMarkdown, and core statistics). www.ntu.ac.uk/course/short-courses/…
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Reposted by Mark Andrews
Mine Doğucu @minedogucu.com · 10/03/2025
Happy to share that my first solo-authored paper is now published in the Annual Review of Statistics and Its Application. 📑 Reproducibility in the Classroom 🔗 www.annualreviews.org/content/jour...
annualreviews.org
Reproducibility in the Classroom | Annual Reviews
Difficulties in reproducing results from scientific studies have lately been referred to as a reproducibility crisis. Scientific practice depends heavily on scientific training. What gets taught in th...
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Mark Andrews @xmjandrews.bsky.social · 05/03/2025
On 12th March 2025 (3pm-5pm, UK time), @rss-teach.bsky.social and TALMO will be hosting an online event on *Teaching Open, Transparent, and Reproducible Data Analysis*. See talmo.uk/2025/dataana.... Free and open to all. 1/2
talmo.uk
Teaching Open, Transparent, and Reproducible Data Analysis
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Reposted by Mark Andrews
Maarten van Smeden @maartenvsmeden.bsky.social · 10/12/2024
New updated slide deck of my talk "rage against the machine learning" www.slideshare.net/slideshow/ra...
slideshare.net
Rage Against the Machine Learning - Young Researchers Event
Rage Against the Machine Learning - Young Researchers Event - Download as a PDF or view online for free
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Reposted by Mark Andrews
Mattan S. Ben-Shachar @mattansb.msbstats.info · 10/12/2024
{effectsize} version 1.0.0 has been released! 🍕👹 Not many changes in this update, but his is quite a milestone 🥳 - the second stable package from @easystats.bsky.social, with more to come soon! #rstats easystats.github.io/effectsize/
easystats.github.io
Indices of Effect Size
Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function insight::supported_models()), allowing computat...
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Reposted by Mark Andrews
Posit @posit.co · 10/12/2024
We are excited to announce pal: a package of ergonomic #LLM assistants designed to help you complete repetitive tasks quickly in RStudio or Positron! Created by @simonpcouch.com, the documentation walks through built-in pals and how to make your own: simonpcouch.github.io/pal/ #RStats
simonpcouch.github.io
LLM assistants for R
Provides a library of ergonomic LLM assistants designed to help you complete repetitive, hard-to-automate tasks quickly. After selecting some code, press the keyboard shortcut you've chosen to trigger...
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Mark Andrews @xmjandrews.bsky.social · 10/12/2024
The BPS Statistics and Research Methods Advisory Panel is a panel of academic researchers who advise editors and provide stats or research methods related peer review for BPS journals. The Panel is currently recruiting for new members. www.bps.org.uk/bps-statisti...
bps.org.uk
BPS Statistics and Research Methods Advisory Panel – Neuroscience Methods & General Expertise | BPS
Call for Expressions of Interest in Neuroscience Methods and General Expertise.
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Mark Andrews @xmjandrews.bsky.social · 10/12/2024
For those who love LLMs, especially open-source LLMs, here is a very useful and up to date list: github.com/allenai/awes...
github.com
GitHub - allenai/awesome-open-source-lms: Friends of OLMo and their links.
Friends of OLMo and their links. Contribute to allenai/awesome-open-source-lms development by creating an account on GitHub.
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Reposted by Mark Andrews
Matti Vuorre @matti.vuorre.com · 03/12/2024
The source I now most frequently refer to in my peer reviews: datamgmtinedresearch.com/document#doc... Documenting things is hard but people really can't check/use your work if it doesn't have some docs. We can do better!
datamgmtinedresearch.com
Chapter 8 Documentation | Data Management in Large-Scale Education Research
Figure 8.1: Documentation in the research project life cycle. Documentation is a collection of files containing procedural and descriptive information about your team, project, workflows, and...
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Mark Andrews @xmjandrews.bsky.social · 30/11/2024
Interact with Bluskey in R using the atrrr package. E.g, get your followers and followees: library(atrrr) my_handle <- 'username' auth(user = my_handle, password = 'password') my_followers <- get_followers(actor = my_handle, limit = Inf) my_followees <- get_follows(actor = my_handle, limit = Inf)
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Reposted by Mark Andrews
Hadley Wickham @hadley.nz · 07/11/2024
S7 0.2.0 is now on CRAN, thanks primarily to the hard work of @t-kalinowski.bsky.social. S7 is a collaborative effort to supersede S3 and S4 and you can read all about it (and what's new in 0.2.0) at www.tidyverse.org/blog/2024/11... #rstats
tidyverse.org
S7 0.2.0 - Tidyverse
S7 is a new package that simplifies object-oriented programming (OOP) in R. It combines the simplicity of S3 with the structure of S4 to create a clearer system that's accessible to everyone.
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Reposted by Mark Andrews
Darren Dahly @statsepi.bsky.social · 26/04/2024
You can open any high quality medical journal and read authors talking about "trends" in estimates, almost always when the attached p-value is just outside the "significance" cutoff. This kind of thing is maddening, because it simply doesn't reflect reality. It's not just wrong, it's...stupid 😬. 1/
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