This systematic review and meta-analysis identified prognostic factors associated with early mortality in septic shock. The identification of these prognostic factors could aid in clinical risk ...

Bayesian analysis is being used with increasing frequency in critical care research and brings advantages and disadvantages compared to traditional Frequentist techniques. This study overviews this ...

For more than 60 years, this blank slate approach has been the Food and Drug Administration’s gold standard — and for good ...

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

Signaloid ( a company providing hardware and cloud-based computing solutions for running workloads ranging from quantitative ...

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

The FDA's draft guidance promotes Bayesian methods to improve clinical trial efficiency, reduce costs, and enhance data utilization while maintaining rigorous safety and efficacy standards. Bayesian ...

This study introduces a novel and highly flexible class of discrete probability distributions tailored to model the diverse monotonic failure-rate patterns frequently observed in stock-market data.

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 ...