The US Food and Drug Administration (FDA) has revised a 2023 draft guidance on master protocols for drug and biological ...

Investigators traditionally use randomized designs and corresponding analysis procedures to make causal inferences about the effects of interventions, assuming independence between an individual’s ...

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 ...

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.

Mendelian randomization, a powerful tool in medical research, helps us understand whether certain factors truly cause disease. This technique uses genetic variations as "natural experiments" to reveal ...

Automatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features ...

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 ...

The genetic and clinical heterogeneity of breast cancer makes the identification of effective therapies challenging. We designed I-SPY 2, a phase 2, multicenter, adaptively randomized trial to screen ...