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You're reading from  Causal Inference and Discovery in Python

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781804612989
Edition1st Edition
Concepts
Data Science
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Author (1)
Aleksander Molak
Aleksander Molak
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Aleksander Molak

Aleksander Molak is a Machine Learning Researcher and Consultant who gained experience working with Fortune 100, Fortune 500, and Inc. 5000 companies across Europe, the USA, and Israel, designing and building large-scale machine learning systems. On a mission to democratize causality for businesses and machine learning practitioners, Aleksander is a prolific writer, creator, and international speaker. As a co-founder of Lespire, an innovative provider of AI and machine learning training for corporate teams, Aleksander is committed to empowering businesses to harness the full potential of cutting-edge technologies that allow them to stay ahead of the curve.
Read more about Aleksander Molak

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The front-door criterion

In this section, we’re going to discuss the front-door criterion – a device that allows us to obtain valid causal estimands in (some) cases where the back-door criterion fails.

Can GPS lead us astray?

In their 2020 study, Louisa Dahmani and Véronique Bohbot from McGill University showed that there’s a link between GPS usage and spatial memory decline (Dahmani and Bohbot, 2020). Moreover, the effect is dose-dependent, which means that the more you use GPS, the more spatial memory decline you experience.

The authors argue that their results suggest a causal link between GPS usage and spatial memory decline. We already know that something that looks connected does not necessarily have to be connected in reality.

The authors also know this, so they decided to add a longitudinal component to their design. This means that they observed people over a period of time, and they noticed that those participants who used more GPS had...

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Causal Inference and Discovery in Python
Published in: May 2023Publisher: PacktISBN-13: 9781804612989
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Aleksander Molak

Aleksander Molak is a Machine Learning Researcher and Consultant who gained experience working with Fortune 100, Fortune 500, and Inc. 5000 companies across Europe, the USA, and Israel, designing and building large-scale machine learning systems. On a mission to democratize causality for businesses and machine learning practitioners, Aleksander is a prolific writer, creator, and international speaker. As a co-founder of Lespire, an innovative provider of AI and machine learning training for corporate teams, Aleksander is committed to empowering businesses to harness the full potential of cutting-edge technologies that allow them to stay ahead of the curve.
Read more about Aleksander Molak

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