activity
20132026
most citedSensitivity analysis for unobserved confounding of direct and indirect effects using uncertainty intervals

33 citations · 97 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

stat.ME2025

Complementary strengths of the Neyman-Rubin and graphical causal frameworks

Tetiana Gorbach, Xavier de Luna, Juha Karvanen +1

This article contributes to the discussion on the relationship between the Neyman-Rubin and the graphical frameworks for causal inference. We present specific examples of data-gene…