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Mark Andrews

@xmjandrews

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

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07.04.2024
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Latest posts by Mark Andrews @xmjandrews

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...

Happy to share that my first solo-authored paper is now published in the Annual Review of Statistics and Its Application.

๐Ÿ“‘ Reproducibility in the Classroom
๐Ÿ”— www.annualreviews.org/content/jour...

10.03.2025 15:03 ๐Ÿ‘ 33 ๐Ÿ” 13 ๐Ÿ’ฌ 4 ๐Ÿ“Œ 2

Speakers include

Matt Castle, @calexander91.bsky.social, @forrt.bsky.social, @minedogucu.com, @minecr.bsky.social

2/2

05.03.2025 10:57 ๐Ÿ‘ 2 ๐Ÿ” 1 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0
Teaching Open, Transparent, and Reproducible Data Analysis

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

05.03.2025 10:56 ๐Ÿ‘ 9 ๐Ÿ” 7 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0

As Thom says, power is strictly a frequentist concept, but there still is a relatively big literature on sample size determination in Bayesian context and so Bayesian power analysis is "a thing" in practice. Kruschke's 2013 is a good place to start: jkkweb.sitehost.iu.edu/articles/Kru...

12.12.2024 17:16 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Preview
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

New updated slide deck of my talk "rage against the machine learning"
www.slideshare.net/slideshow/ra...

10.12.2024 21:28 ๐Ÿ‘ 79 ๐Ÿ” 15 ๐Ÿ’ฌ 5 ๐Ÿ“Œ 1
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...

{effectsize} version 1.0.0 has been released! ๐Ÿ•๐Ÿ‘น

Not many changes in this update, but his is quite a milestone ๐Ÿฅณ - the second stable package from @easystats.bsky.social, with more to come soon!

#rstats

easystats.github.io/effectsize/

10.12.2024 17:00 ๐Ÿ‘ 39 ๐Ÿ” 3 ๐Ÿ’ฌ 2 ๐Ÿ“Œ 3
Preview
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...

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

10.12.2024 15:11 ๐Ÿ‘ 60 ๐Ÿ” 15 ๐Ÿ’ฌ 2 ๐Ÿ“Œ 2
Preview
BPS Statistics and Research Methods Advisory Panel โ€“ Neuroscience Methods & General Expertise | BPS Call for Expressions of Interest in Neuroscience Methods and General Expertise.

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...

10.12.2024 15:53 ๐Ÿ‘ 7 ๐Ÿ” 4 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Preview
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.

For those who love LLMs, especially open-source LLMs, here is a very useful and up to date list:
github.com/allenai/awes...

10.12.2024 11:34 ๐Ÿ‘ 1 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Preview
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...

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!

03.12.2024 10:48 ๐Ÿ‘ 8 ๐Ÿ” 2 ๐Ÿ’ฌ 1 ๐Ÿ“Œ 0

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)

30.11.2024 10:43 ๐Ÿ‘ 2 ๐Ÿ” 0 ๐Ÿ’ฌ 0 ๐Ÿ“Œ 0
Preview
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.

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

07.11.2024 13:42 ๐Ÿ‘ 99 ๐Ÿ” 35 ๐Ÿ’ฌ 7 ๐Ÿ“Œ 8

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 ๐Ÿ˜ฌ. 1/

26.04.2024 08:28 ๐Ÿ‘ 26 ๐Ÿ” 7 ๐Ÿ’ฌ 2 ๐Ÿ“Œ 2