MedPage Today on MSN

Are Bayesian statistics coming to a clinical trial near you?

What physicians should know about FDA's new proposed guidance ...
InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...
ascopubs.org

Bayesian Utility-Based Designs for Subgroup-Specific Treatment Comparison and Early-Phase Dose Optimization in Oncology Clinical Trials

Two Bayesian clinical trial designs that perform subgroup-specific decision making and inference based on elicited utilities of patient outcomes are reviewed. The first is a randomized comparative ...
Nanowerk

Atomic jitters power a new kind of probabilistic AI chip

Thermal noise in magnetic tunnel junctions, usually suppressed, now serves as a tunable source of randomness for Bayesian ...
JSTOR Daily

Beta generalized distributions and related exponentiated models: A Bayesian approach

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 ...
ascopubs.org

Bayesian Approaches to Subgroup Analysis and Related Adaptive Clinical Trial Designs

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 ...
JSTOR Daily

Limiting behavior of the Jeffreys power-expected-posterior Bayes factor in Gaussian linear models

This is a preview. Log in through your library . Abstract Expected-posterior priors (EPPs) have been proved to be extremely useful for testing hypotheses on the regression coefficients of normal ...