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Home > the bioinformatics chat > #37 Causality and potential outcomes with Irineo Cabreros
Podcast: the bioinformatics chat
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#37 Causality and potential outcomes with Irineo Cabreros
Category: Science & Medicine
Duration: 00:40:46
Publish Date: 2019-09-27 14:00:00
Description:

In this episode I talk with Irineo Cabreros about causality. We discuss why causality matters, what does and does not imply causality, and two different mathematical formalizations of causality: potential outcomes and directed acyclic graphs (DAGs). Causal models are usually considered external to and separate from statistical models, whereas Irineo’s new paper shows how causality can be viewed as a relationship between particularly chosen random variables (potential outcomes).

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