Machine learning models can drive business operations to great benefit. But, to get there, stakeholders must determine how model probabilities trigger actions. The number crunching can't determine it ...

In today’s competitive business environment, empowering your teams with data-driven decision-making is essential. However, amid an organization’s vast sea of data, the process of effectively ...

Colleges and universities are navigating an increasingly complex landscape. Rising rates of anxiety, depression, and burnout are colliding with growing concerns about physical safety. Meanwhile, ...

Adaptive clinical trials use algorithms to predict, during the study, patient outcomes and final study results. These predictions trigger interim decisions, such as early discontinuation of the trial, ...

The customary approach to early-phase clinical trial design, where the focus is on identification of the maximum tolerated dose, is not always suitable for noncytotoxic or other targeted therapies.

Bayesian predictive density estimation represents a cornerstone of modern statistical inference by integrating prior knowledge with observed data to produce a predictive distribution for future ...