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 ...

In January 1977, five landmark health surveys, led by the famous Framingham Heart Study, reported a “striking” revelation about HDL cholesterol—a.k.a. the “good cholesterol.” The higher the HDL in a ...

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 ...

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 ...

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.

For many years, MAC Address Randomization was slated as the next big thing for protecting user privacy on the modern Internet. The standard, which works by deploying a new MAC address to a device in ...