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...

One lives only to make blunders: Simulation on adjusting for confounders in a mixed model A brief tidyverse-style simulation to figure out what happens, if I don't include varying slopes in a model.

#statstab #218 Simulation on adjusting for confounders in a mixed model by @rubenarslan

Thoughts: Brief but insightful simulation to understand bias from ignoring random slopes.

#r #simulation #causalinference #bias #covariate #randomslopes

rubenarslan.github.io/posts/2024-0...