Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...

Think tank IMPI defends its 14% inflation forecast, citing data-driven analysis of economic reforms and a predictive ...

The following information was released by the Federal Reserve Bank of Atlanta:. In preparation for FOMC meetings, policymakers have the Fed Board staff projection of this "advance" estimate at their ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

Abstract: In this letter, three least squares approximation (LSA) algorithms are presented and applied to the statistical analysis of a field-to-line coupling model over a nonideal ground. These three ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

Abstract: Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it difficult for ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...