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.

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.

Nonrandomized observational analyses have been promoted as alternatives to randomized clinical trials. However, randomization ensures balance between groups, whereas nonrandomized studies are often ...

In a randomized clinical trial, instead of allocating patients equally between the treatment arms, some trials in oncology assign a higher proportion of patients to receive the experimental treatment ...

Randomization have proven to be an efficient way of reducing bias and thus is widely used in clinical trials. Randomization ensures that subject allocation is balanced across treatment group and is ...

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 ...