Mathematics
a year ago

New methods in R revolutionize causal inference with observational data.

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Causal Inference with Observational Data in R: Propensity Scores, Inverse Probability Treatment Weighting, and Marginal Structural Models
Gary Chan

Paper Summary

Propensity score methods, Inverse probability treatment weighting, and marginal structural models are new ways to figure out cause and effect using real-life data. Dr. Gary Chan teaches a seminar on how to use these methods in R, with hands-on practice. By the end, you get a certificate. European PhD students can earn 2 ECTS points.

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