no code implementations • 5 Mar 2021 • Sean McGrath, Jessica G. Young, Miguel A. Hernán
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
no code implementations • 28 Apr 2018 • Miguel A. Hernán, John Hsu, Brian Healy
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.