#statstab #458 Causal inference for observational data using {modelbased}

Thoughts: IPW, g-computation, and more. Learning OS and ways to compute ATE for (more accurate, but still not great) inference.

#gcomputation #ipw #iptw #observational #inference

https://easystats.github.io/modelbased/articles/practical_causality.html

#statstab #323 Counterfactuals and G-Computation

Thoughts: Even {emmeans} can do funky stuff for observational studies, if that is your fancy.

#gcomputation #counterfactuals #observational #R #emmeans #design

https://cran.r-project.org/web/packages/emmeans/vignettes/messy-data.html#counterfact

#statstab #121 The Parametric G-Formula

Thoughts: If you do observational and pseudo-experiments, at some point you need to learn about g-computation.

#causalinference #gcomputation #r #rstats #research #psychology #experiments

https://www.r-causal.org/chapters/15-g-comp