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Department of Statistics, Nuffield Department of Medicine, Department of Statistical Science, CeBAM, University of Oxford, University College London
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FairBED shows that you can design data acquisition processes that inherently reduce bias, leading to fairer machine learning models.
Turns out, focusing on *prognostic* scores might be the key to unlocking more robust causal inference when treatment groups barely overlap.
