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247 – Topics in Sample Design and Data Collection

The Mathematics of Causal Inference

Sponsor: Section on Statistical Education
Keywords: Causal Inference, Confounding, Mediation, Missing Data, Meta Analysis

Judea Pearl

UCLA

This paper reviews concepts, principles and tools that have led to a coherent mathematical theory of causation based on structural models. The theory provides solutions to a number of problems in causal inference, including questions of confounding control, policy analysis, mediation, missing data and the integration of data from diverse studies.

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