As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

In today's ACT Brief, we explore the operational capabilities clinical teams need to implement Bayesian trial designs, why gender diversity strengthens data science across drug development, and the ...

Offered through an interdisciplinary partnership, data science at CU Boulder is delivered by the Departments of Applied Mathematics, Computer Science, and Information Science and awarded by the ...