Sensitiviy Analysis for Binary Outcome

py-why / dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

https://www.pywhy.org/dowhy

MIT License

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Sensitiviy Analysis for Binary Outcome #1232

Closed sdannyvi closed 3 months ago

sdannyvi commented 3 months ago

Does anyone know the mechanism behind the "add_unobserved_common_cause" refutation method? I have a binary treatment and binary outcome. I set the association strength parameters, but I don't know what process is applied to the data to perform the refutation test. What is the generative model underlying the "add_unobserved_common_cause"?

Thanks!

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