Health Information And Medical Data
In later work, she outlined three particular sources of bias that could be detangled from any model. The first is “bias,” however in a statistical sense — perhaps the mannequin is not a great match for the research question. The final supply is noise, which has nothing to do with tweaking the model or increasing the sample dimension. Instead, it signifies that one thing has happened through the information assortment course of, a step way earlier than model growth.
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