It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets

no code implementations • 12 Dec 2019 • Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel Yang, Anton Geraschenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael Brenner, Lee Rubin, Brian Wainger, Marc Berndl

Confounding variables are a well known source of nuisance in biomedical studies.

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