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State-of-the-Art Strategies for Addressing Selection Bias When Comparing Two or More Treatment Groups

This course introduces causal modeling using the potential outcomes framework and propensity score weights to estimate causal effects from observational data. Those who take the course learn how to implement propensity score weighting using state-of-the-art methods and gain insights into some of the practical issues around evaluating the quality of propensity score weights for binary, multinomial, and time-varying treatments.