It always amazes me how much we can explain using mixed-effects models.
#Statistics #modeling #lmer #rstats #lme4 #Bioinformatics #DataScience

#statstab #415 Analysis of means: Examples using package ANOM

Thoughts: Ever wonder why we run Analyses of Variance and not Means? Well, now you can do both! Using this #R package.

#ANOM #ANOVA #lmer #means #ranking #design

cran.r-project.org/web/packages...

Issues | Mixed Models with R This is an introduction to using mixed models in R. It covers the most common techniques employed, with demonstration primarily via the lme4 package. Discussion includes extensions into generalized mi...

#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...

Post-Hoc Power Sensitivity Analysis using the SESOI | The Change Lab

#statstab #286 Post-Hoc Power Sensitivity Analysis using the SESOI

Thoughts: Not a great title or great explanation of key concepts, but having R code outlined is useful.

#lmer #simulation #sample #power #SESOI #sensitivity #R

thechangelab.stanford.edu/tutorials/po...

When estimating a treatment effect with a cluster design, you need to include varying slopes, even if the fit gives warning messages. | Statistical Modeling, Causal Inference, and Social Science

#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...

Power Simulation: A primer in 3 languages - Power Simulation in a Mixed Effects design using R

#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/

Mixed Models | Mixed Models with R This is an introduction to using mixed models in R. It covers the most common techniques employed, with demonstration primarily via the lme4 package. Discussion includes extensions into generalized mi...

#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...

I'm looking into different ways to plot/quantify the Lv1 and Lv2 residuals for an lmer model. Any suggestions? #stats #Rstats #lmer

Any possibilities to quantify the skewness of residuals in lmer models? I've been using qqmath plots but I have 0% confidence in my ability to pick between some of these models by eye... #Rstats #statschat #lmer