Common DAG Structures–Confounding, Collider Bias, and Mediation
common_DAG_structures_blog.knit Introduction Directed Acyclic Graphs (DAGs) are powerful tools for ...
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Causal Inference Guide: Books, Courses, and More
Introduction Causal inference is a critical framework used to understand ...
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Selection Bias, A Causal Inference Perspective (With Downloadable Code Notebook)
collider_bias.knit Find the RMarkdown Notebook on Github and Run the ...
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The Influence of Confounding Variables in Observational Studies
Observational studies help identify associations when RCTs are impractical, but they are often challenged by confounding variables. A confounder is a factor linked to both ...
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Once Upon a Time Series
A Journey Through Causal Inference and Inspiration In 2015, on the brink of defending a dissertation in biostatistics, the author found new hope and direction. ...
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Crash course on confounding, bias, and deconfounding remedies using R
. . Introduction In theory there is no difference between ...
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