Causal Inference One-to-one Matching on Confounders Using R

Using R Matching package for causal inference with Mahalanobis Distance Matching (MDM) in Google Colab notebook

Amy @GrabNGoInfo
GrabNGoInfo
Published in
9 min readJul 2, 2022

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Causal Inference One-to-one Matching on Confounders Using Python and R. Using R Matching package for causal inference with Mahalanobis Distance Matching (MDM) in Google Colab notebook.
Photo by elen aivali on Unsplash

Causal inference is the process of determining the effect of a treatment. The causal impact can be evaluated by randomized experiments or observational studies.

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