Latest posts tagged with #mixedeffects on Bluesky
How to detect AI bias?
"Statistically significant" ≠ practically meaningful. Effect size matters - and template choice dramatically changes what #gender bias you detect.
Our fix: #mixedeffects + #perplexity weighting for robust detection.
arxiv.org/abs/2502.15600
#AI #NLP
#statstab #401 Common issues, conundrums, and other things that might come up when implementing mixed models
Thoughts: GLMMs are cool, but come with their own quirks.
#glmm #lmer #brms #mixedeffects #hierarchicalmodels #r
m-clark.github.io/mixed-models...
#statstab #329 Bayesian versus frequentist approaches in multilevel single-case designs: on power and type I error rate
Thoughts: An interesting project highlighting some benefits of #bayesian methods for #nof1 designs.
#stats #r #sced #mixedeffects
osf.io/k7b82/files/...
#statstab #328 How to Assess Task Reliability using Bayesian Mixed Models
by @Dom_Makowski
Thoughts: Nice walkthrough using {brms}, with code, data gen, and plots.
#r #bayesian #mixedeffects #reliability #brms
realitybending.github.io/post/2024-03...
#statstab #264 When estimating a treatment effect with a cluster design, you need to include varying slopes, even if the fit gives warning messages
Thoughts: Warnings are scary ⚠️ Bad model are scarier 👹
#lmer #modelfit #mixedeffects #r #randomslopes
statmodeling.stat.columbia.edu/2025/01/23/s...
#statstab #221 #brms posterior_epred() vs posterior_predict()
Thoughts: When starting off with bayesian mixed models you'll run across this issue. Here's one of the best forum posts on it.
#bayesian #mixedeffects #models #posterior #effects #prediction
discourse.mc-stan.org/t/confusion-...
#statstab #199 Mixed model equivalence test using R and PANGEA
Thoughts: While there are easier ways to compute #EQ tests for such models now, it is nice to see how you'd do so manually.
#equivalencetests #NHST #mixedeffects #r #stats #nullresults
pedermisager.org/blog/mixed_m...
#statstab #130 Power Simulation in a Mixed Effects design using R
Thoughts: I used {faux} in my last blog post. Useful package if you think you can anticipate your data (v onerous in mixed effects).
#r #simulation #power #NHST #mixedeffects #lmer #stats
cjungerius.github.io/powersim/
#statstab #112 Mixed Models with R
Thoughts: A very nice overview of what mixed models are, how to use them, and how to interpret the results (even mentions issues with p-values).
#rstats #r #lmer #mixedeffects
m-clark.github.io/mixed-models...
#statstab #68 Minimum number of levels for a random effect
Thoughts: Fixed effects and random effects are not always intuitive differences. Apparently >5 is ok for an re.
#r #MLM #mixedeffects #rstats #stats
stats.stackexchange.com/questions/37...
#statstab #51 R Functions for Variance Decomposition {varde}
Thoughts: A useful package to get more insight into your mixed effects model.
#r #rstats #mixedeffects #lmm
github.com/jmgirard/varde
#statstab #45 Visualizing Hierarchical Models
Thoughts: One of the coolest visualisation websites for mixed effects models I had saved.
#stats #mixedeffects #hierarchicalmodels #rstats #MLM
mfviz.com/hierarchical...
🚨New paper: A Tutorial for Deception Detection Analysis or: How I Learned to Stop Aggregating Veracity Judgments and Embraced Signal Detection Theory Mixed Models
w/ @matti.vuorre.com
A better way to analyse lie data.
#deception #SDT #mixedeffects #brms #rstats
link.springer.com/article/10.1...
#statstab #19 Model Estimation Options, Problems, and Troubleshooting
Thoughts: A nice guide on model convergence issues, REML vs FIML, and model comparison (frequentist s)
#mixedeffects #rstats #stats
www.learn-mlms.com/07-module-7....
#statstab #16 Maximal Random Structure (mixed effects models)
Thoughts: A very nice tutorial and explanation on the benefits of Mixed effects models, including some useful advice and advanced tips.
#stats #lmm #mixedeffects #randomeffects #power
www.alexanderdemos.org/Mixed7.html#...
This tutorial was a great refresher on creating #mixedeffects #models in #R using #lme4.
http://www.bodowinter.com/tutorial/bw_LME_tutorial2.pdf
