Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

Currently hierarchical data models (HDM) must be generated with the same EDA tool that customers will use to consume the HDM ...

BhGLM is a freely available R package that implements Bayesian hierarchical modeling for high-dimensional clinical and genomic data. It consists of functions for setting up various Bayesian ...

Across 222 effect sizes, a hierarchical random-effects model showed no meaningful difference between fasted and satiated participants.

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

A new KAUST-developed workflow helps researchers efficiently test and validate the assumptions underlying complex statistical models to ensure more reliable results.

Microcredentials operate differently from traditional education, and they call for a more flexible, adaptable system to ...