Bayesian thinking helps you make better decisions by updating your beliefs when new evidence appears. Even in games of chance like scratch-off lotteries, paying attention to information can improve ...
The U.S. Food and Drug Administration signaled a sweeping shift in how cutting-edge therapies reach patients this month, ...
ACT Brief: Moving Beyond AI Pilots, FDA Advances Bayesian Trials, and Sites Strained by Trial Design
In today’s ACT Brief, we examine what will separate sponsors that scale AI beyond pilots in 2026, break down the FDA’s new ...
The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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 ...
This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...
We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Sofia Sokolove Sofia Sokolove is the deputy director for newsletters and ...
Frequentist stats like p-values often confuse even experts. Bayesian A/B testing offers more intuitive, practical insights for UX, helping teams make better data-informed decisions under uncertainty.
We consider the high-risk melanoma trial design application in Psioda and Ibrahim (2019), and demonstrate how BayesPPDSurv can be used for coefficient estimation as ...
Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...
Background Health technology assessment (HTA) bodies evaluate the clinical and economic values of health interventions to inform healthcare decision-making. They face the challenge of lacking ...
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