Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...

Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to ...

In the announcement, FDA Commissioner Mackary said, “Bayesian methodologies help address two of the biggest problems of drug development: high costs and long timelines. Providing clarity around modern ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

The FDA’s new draft guidance on Bayesian methods in clinical trials has been hailed by some as a breakthrough that could speed drug development. But statisticians and researchers are divided on ...

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...

Randomized controlled trials are considered the golden standard for estimating treatment effect but are costly to perform and not always possible. Observational data, although readily available, is ...

If you've been planning to step up your data science game for the new year, the 2026 NPTEL course lineup from India's top IITs is honestly a goldmine. These courses cover the backbone of modern ...

This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical ...

Effect of bacterial glycosyltransferases on resistance to Lewis Y-targeting antibody-drug conjugates. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...