Andrew Heiss • 12/1/2020

Generating inverse probability weights for both binary and continuous treatments

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This technical article explains how to generate and use inverse probability weights (IPW) for causal inference in R, extending beyond binary treatments to handle continuous treatments. It covers DAGs for identifying confounders and demonstrates the statistical methods to close backdoors and adjust for confounding in observational data, relevant for program evaluation and data science.

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#R #Causal Inference #Dag
Generating inverse probability weights for both binary and continuous treatments

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