The Battle For The Soul Of Causal Inference
Explore the decades-long intellectual rivalry shaping how we understand causality in data science. This analysis examines the fundamental tension between two giants of causal methodology: ...
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Association Does Not Imply Causation, Except When it Does – A Causal Inference Perspective
Delving into the critical distinction between correlation and causation, this article explores why establishing true causal relationships remains one of the most challenging aspects of ...
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Common DAG Structures–Confounding, Collider Bias, and Mediation
Unlock the power of Directed Acyclic Graphs (DAGs) in understanding complex causal relationships across research disciplines. This comprehensive introduction demonstrates how these visual tools revolutionize ...
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Selection Bias, A Causal Inference Perspective (With Downloadable Code Notebook)
Collider bias occurs when we condition on (or select based on) a variable that is influenced by both the exposure and outcome of interest. This ...
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