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DataFunSummit
DataFunSummit
Jan 19, 2024 · Fundamentals

Causal Inference and Its Applications in Medical Research

This article reviews the importance of causal inference in medicine, covering historical perspectives on disease causation, epidemiological methods such as Mill's rules and cohort studies, modern techniques like Mendelian randomization, and future research directions in causal graph learning and AI integration.

Mendelian randomizationcausal inferenceepidemiology
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Causal Inference and Its Applications in Medical Research