Lung cancer is a complex disease with varying subtypes. The genetic architectures and risk factors that are similar or distinct among these subtypes remain unclear. In this work, Genome-wide ...

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 is a method for causal inference that leverages the random inheritance of alleles as instrumental variables to estimate the causal effects of exposures on outcomes 1,2,3,4 (Box ...

Professor Yeonhee Park of the Department of Statistics at Sungkyunkwan University has developed a novel statistical framework — MARGO (Machine Learning-Assisted Adaptive Randomization for Group ...