Adjustments and their Consequences-Collapsibility Analysis using Graphical Models

DOI10.1111/j.1751-5823.2011.00158.xzbMath1238.62070OpenAlexW1915430721MaRDI QIDQ2889637

Judea Pearl, Sander Greenland

Publication date: 8 June 2012

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://escholarship.org/uc/item/3ng2r0sm

zbMATH Keywords

causalitybiasinstrumental variablesodds ratioconfoundingcompliancecausal modelsmediation analysis

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Applications of graph theory (05C90) Graphical methods in statistics (62A09)

Related Items

On the logic of collapsibility for causal effect measures ⋮ Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets ⋮ The magnitude and direction of collider bias for binary variables ⋮ On the definition of a confounder ⋮ Comment: Invariance, causality and robustness ⋮ Hypersurfaces and their singularities in partial correlation testing ⋮ TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS ⋮ Qualitative inequalities for squared partial correlations of a Gaussian random vector

Uses Software

• ElemStatLearn

Cites Work

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