The FDA has released draft guidance on how sponsors can use Bayesian models for clinical trials.

In this video interview, David Morton, PhD, director of biostatistics at Certara, explains how regulatory momentum is ...

We review Bayesian and Bayesian decision theoretic approaches to subgroup analysis and applications to subgroup-based adaptive clinical trial designs. Subgroup analysis refers to inference about ...

It’s estimated that human adults make about 35,000 decisions a day — the percentage of good decisions depends on the adult. These choices can be as banal as deciding to roll or crumple toilet paper or ...

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

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

Brazilian Journal of Probability and Statistics, Vol. 27, No. 1 (February 2013), pp. 1-19 (19 pages) We introduce a Bayesian analysis for beta generalized distributions and related exponentiated ...

A recent study introduces a groundbreaking method for early crop identification, leveraging the Bayesian Probability Update Model (BPUM). This innovative approach combines historical planting data ...