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Rubin causal model

The Rubin causal model (RCM), also known as the Neyman–Rubin causal model, is an approach to the statistical analysis of cause and effect based on the framework of potential outcomes, named after Donald Rubin. The name "Rubin causal model" was coined by Paul W. Holland. The potential outcomes framework was first proposed by Jerzy Neyman in his 1923…

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Rubin causal model

Nodes24
Edges23
Triples34
Avg. degree1.92
Density0.083333
Components1

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Rubin causal model

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related to Conclusion · 18
Rubin causal model → Angrist, As, Causal Inference, For, Ibeling, Icard, Imbens, Morgan, Pearl, Peters, Rubin, SEMs, Structural Equation Models, The, The Fundamental Problem, The Rubin, Winship, You
related to Introduction · 9
Rubin causal model → An, ATE, Because, For, However, Since, The Rubin, This, To
related to External links · 7
Rubin causal model → Christopher Winship, Counterfactual Causal Analysis, Donald Rubin, Economics, Guido Imbens, New Palgrave Dictionary, Stephen Morgan

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causal effect treatment potential outcomes would average blood pressure rubin control joe drug inference assignment one joe's displaystyle mary difference

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SubjectPredicateObjectConfidenceSrc
Rubin causal modelrelated to ConclusionThe0.60section
Rubin causal modelrelated to ConclusionThe Fundamental Problem0.60section
Rubin causal modelrelated to ConclusionCausal Inference0.60section
Rubin causal modelrelated to ConclusionYou0.60section
Rubin causal modelrelated to ConclusionAs0.60section
Rubin causal modelrelated to ConclusionThe Rubin0.60section
Rubin causal modelrelated to ConclusionAngrist0.60section
Rubin causal modelrelated to ConclusionImbens0.60section
Rubin causal modelrelated to ConclusionRubin0.60section
Rubin causal modelrelated to ConclusionFor0.60section
Rubin causal modelrelated to ConclusionMorgan0.60section
Rubin causal modelrelated to ConclusionWinship0.60section

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