Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins

Abstract

I thank Thomas Richardson and James Robins for their discussion of my article, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.

Keywords

• causal inference
• decision analysis
• distributional consistency
• extended conditional independence
• g-computation
• graphical model
• ignorability
• intention to treat
• potential outcome
• single world intervention graph
• 62a01
• 62c99