How to Use Backdoor Criterion to Select Control Variables

The article introduces the use of Directed Acyclic Graphs (DAG) and backdoor criterion in causal inference for experimental settings to select good control variables. It explains the process through a data science problem of influencing sustainable behavior and includes examples and simulated experiments in R to demonstrate the application. The article emphasizes the importance of selecting valid control variables for accurate causal analysis.

 How to Use Backdoor Criterion to Select Control Variables

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How to Use Backdoor Criterion to Select Control Variables

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