The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches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

The ALICE collaboration has performed one of the most precise studies of strange-to-non-strange hadron production to date at ...

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

"All of these (Venezuelan) actions were in gross violation of the core principles of American foreign policy, dating back ...

DNA analysis of cultural artifacts shows diverse biological profiles, but contamination and mixed signals complicate ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

The final, formatted version of the article will be published soon. Objective: This real-world study evaluated the efficacy and safety of telitacicept, a dual BAFF/APRIL inhibitor, in patients with ...

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 ...

Naive Bayes is a widely used classification algorithm known for its simplicity and efficiency. This package takes naive Bayes to a higher level by providing more flexible and weighted variants, making ...

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