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This skill provides a comprehensive framework for conducting Real-World Evidence (RWE) studies using the R programming language. it implements best-practice methodologies for comparative effectiveness research, including target trial emulation, various propensity score methods (matching, weighting, overlapping), and doubly robust estimation. Designed for biostatisticians and health data scientists, it streamlines the complex workflow of addressing selection bias, time-varying confounding, and informative censoring, while providing automated tools for sensitivity analysis such as E-values and quantitative bias analysis.
