Mathematics & Science · AI Books
A First Course in Causal Inference (Peng Ding)
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Peng Ding introduces causal inference from a statistical perspective.
The book explains the foundations needed to reason about causal effects rather than associations alone.
Examples and applications draw on biostatistics and econometrics.
Mathematical arguments are accompanied by exercises, data, and practical R code.
The course assumes basic probability, statistical inference, and familiarity with regression.
Read about the original source: A First Course in Causal Inference
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