Showing stat.MEShow all
2 papers · 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…
stat.ME2025
Causal inference targeting a concentration index for studies of health inequalities
Mohammad Ghasempour, Xavier de Luna, Per E. Gustafsson
A concentration index, a standardized covariance between a health variable and relative income ranks, is often used to quantify income-related health inequalities. There is a lack…