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A casual conversation concerning causal inference (Practical AI #113)

A casual conversation concerning causal inference (Practical AI #113)

Released Tuesday, 24th November 2020
Good episode? Give it some love!
A casual conversation concerning causal inference (Practical AI #113)

A casual conversation concerning causal inference (Practical AI #113)

A casual conversation concerning causal inference (Practical AI #113)

A casual conversation concerning causal inference (Practical AI #113)

Tuesday, 24th November 2020
Good episode? Give it some love!
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Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).

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