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.

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

Causal inference is the process of determining the effect of a treatment. The causal impact can be evaluated by randomized experiments or observational studies. In this tutorial, we will talk about how to use Mahalanobis Distance Matching (MDM) for causal inference using the R package Matching. You will learn: Resources for this post: Let’s get started! …

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