Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.
Mendelian randomization is an approach to causal inference that uses genetic variants as instrumental variables to estimate causal effects of a risk factor on disease or health outcomes. Methods ...
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