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.

I am no stranger to the importance of randomization when conducting a study. I minored in psychology as an undergraduate, so I took part in the experimentation process--both by being experimented on ...

Outcome-adaptive randomization is one of the possible elements of an adaptive trial design in which the ratio of patients randomly assigned to the experimental treatment arm versus the control ...

A research team analyzed linguistic approaches to help cancer patients better comprehend the concept of randomization, being assigned by chance to treatment or control groups, in clinical trials.

What is MR: MR uses genetic variants as tools to infer causality between exposures and outcomes, reducing confounding common in observational studies. Why it matters: It offers a way to test causal ...

Salt intake showed no genetic causal link to gastric cancer risk. Read more on the Mendelian randomization findings.