Concepts of Causal Inference.

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Causal Inference

This paper reviews a theory of causal inference based on the Structural Causal Model (SCM) described in (Pearl, 2000a). The theory unifies the graphical, potential-outcome (NeymanRubin), decision analytical, and structural equation approaches to causation, and provides both a mathematical foundation and a friendly calculus for the analysis of causes and counterfactuals. In particular, the paper...

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Foundations of Causal Inference

Causal inference is usually concerned with exploring causal relations among random variables X1, . . . , Xn after observing sufficiently many samples drawn from the joint probability distribution. The formal basis is the Causal Markov Condition stating that every variable is conditionally statistically independent of its nondescendants, given its parents with respect to the directed acyclic gra...

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ژورنال

عنوان ژورنال: International Journal of Epidemiology

سال: 2015

ISSN: 1464-3685,0300-5771

DOI: 10.1093/ije/dyv097.256