In this video interview, David Morton, PhD, director of biostatistics at Certara, explains how regulatory momentum is ...
The FDA has opened the door to the use of Bayesian statistical methods in clinical trials. The worry: Introducing subjectivity into what should be an objective process.
As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...
The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...
Clinical Trials Arena on MSN
The Bayesian challenge: complexity that pays off
The FDA has released draft guidance on how sponsors can use Bayesian models for clinical trials.
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results