Current guidelines lack clear, consistent recommendations on liver-beneficial exercise for metabolic dysfunction-associated ...

Background/aims Up-to-date, stratified estimates of the number of individuals affected by glaucoma in the UK are lacking.

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Treatments for a rare, aggressive form of childhood brain cancer that researchers describe as promising may move closer to ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

In the predawn hours of August 19, 2024, bolts of lightning began to fork through the purple-black clouds above the Mediterranean. From the rail of a 184-foot vessel, a 22-year-old named Matthew ...

Objective: This study aims to investigate the association between skeletal muscle mass (SMM) and left ventricular mass (LVM), providing a basis for health management and cardiac health interventions ...

We develop methodology to bridge scenario analysis and risk forecasting, leveraging their respective strengths in policy settings. The methodology, rooted in Bayesian analysis, addresses the ...

Abstract: This study presents a Software Reliability Growth Model (SRGM) that incorporates imperfect debugging and employs Bayesian analysis to optimize the timing of software releases. The primary ...