Mark Andrews
banner
xmjandrews.bsky.social
Mark Andrews
@xmjandrews.bsky.social
560 followers 1.5K following 6 posts
Associate professor of statistical methods, Psych Dept, Nottingham Trent University. Statistics, Data science, Bayesian methods, R, Python, Open science, etc.
Posts Media Videos Starter Packs
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
Teaching Open, Transparent, and Reproducible Data Analysis
talmo.uk
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...
jkkweb.sitehost.iu.edu
Reposted by Mark Andrews
Posit @posit.co · Dec 10
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
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...
simonpcouch.github.io
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 Statistics and Research Methods Advisory Panel – Neuroscience Methods & General Expertise | BPS
Call for Expressions of Interest in Neuroscience Methods and General Expertise.
www.bps.org.uk
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)
Reposted by Mark Andrews
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/