Learn how representative samples and random samples differ and why combining them minimizes sampling bias for accurate data.

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.

Anyone who’s read my stuff with any regularity is acutely aware of my disdain for the way many observational studies are conducted and interpreted in health and nutrition research, as well as my ...