Applied Clinical Trials Online

FDA Issues Draft Guidance to Advance Bayesian Methods in Clinical Trials

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
JSTOR Daily

A Bayesian Hierarchical Model for Prediction of Latent Health States from Multiple Data Sources with Application to Active Surveillance of Prostate Cancer

This is a preview. Log in through your library . Abstract In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model ...
CU Boulder News & Events

DTSA 5728: Bayesian Statistical Modeling for Data Science Applications

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 ...
Diginomica

Can Bayesian Networks provide answers when Machine Learning comes up short? It's a question of probabilities

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...
JSTOR Daily

Small area forecasts of cause-specific mortality: application of a Bayesian hierarchical model to US vital registration data

This is a preview. Log in through your library . Abstract Mortality forecasts are typically limited in that they pertain only to national death rates, predict only all-cause mortality or do not ...