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This skill provides a robust framework for epidemiologists and biostatisticians to perform advanced public health analytics using R. It automates the implementation of domain-specific methods including measures of association, incidence rate calculations, and complex regression modeling. Beyond basic statistics, it facilitates modern causal inference techniques such as Directed Acyclic Graphs (DAGs), propensity score matching, and doubly robust estimation. Whether you are designing a cohort study or investigating an active outbreak, this skill offers standardized code patterns to ensure rigorous and reproducible epidemiological research.
