The FDA has released draft guidance on how sponsors can use Bayesian models for clinical trials.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

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

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

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, ...

Bayes Theorem is a time-tested way to use probabilities to solve complex problems. Bayes Theorem is the handiwork of an 18th-century minister and statistician named Thomas Bayes, first released in a ...

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 ...

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 ...