Causal Inference - Lecture 2.1 | Introduction to directed acyclic graphs (DAGs)
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YouTubeProfessor Fernando Hartwig
Causal Inference - Lecture 2.1 | Introduction to directed acyclic graphs (DAGs)
This lecture introduces directed acyclic graphs (DAGs) as a tool for visually representing causal assumptions related to a given causal question. The goal of the lecture is to introduce DAGs by comparing them to the more traditional (at least in epidemiology) hierarchical models, where causes of the outcome are organized in levels, from the ...
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