One-to-one Matching on Confounders Using Python Package Causal Inference. Bias-adjusted one-to-one and one-to-many matching on Confounders in python

One-to-one Matching on Confounders Using Python Package Causal Inference

One-to-one matching on confounders takes a sample in the treatment group, and finds a similar sample in the non-treatment group based on the confounder similarities. The goal of matching is to create a synthetic control group that is comparable to the treatment group. In this tutorial, we will talk about how to do one-to-one matching …

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