CausalInference

The CausalInference package of Python allows us to generate the values of Adjustment Treatment Effect, Propensity Score, and also enable stratification and improving co-variate balance.

Have a look at the co-lab notebook below to see how the CausalInference package can be used to determine the best Backdoor Adjustment path for a causal model.

Examples: Causal Graphical Models

Resources:

1. CausalInference Documentation

2. Degenerate State Blog on Backdoor Adjustment