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Revisiting the g-null paradox
An often cited limitation of the parametric g-formula is the g-null paradox: a phenomenon in which model misspecification in the parametric g-formula is guaranteed under the conditions that motivate its use (i. e., when identifiability conditions hold and measured time-varying confounders are affected by past treatment).
Causal Inference
Methodology
Data science is science's second chance to get causal inference right: A classification of data science tasks
The introduction of the term "data science" provides a historic opportunity to redefine data analysis in such a way that it naturally accommodates causal inference from observational data.
