DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

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

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Discover why surface chemistry matters and how XPS imaging modes enable deeper insight into materials performance.

TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...

A single-institution US study in the Journal of Allergy and Clinical Immunology: Global has reported a steady rise in ...

Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.

Adult bacterial meningitis carries high mortality and neurological complications, especially from Listeria and Streptococcus ...

In the AXSANA/EUBREAST 3(R) study, researchers compared data about recurrence outcomes of more-invasive and less-invasive lymph node procedures.

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 ...

Association between Modified Cardiometabolic Index and Incident Cardiovascular Disease in Middle-Aged and Elderly Chinese ...

Researchers compared the safety and efficacy of BrECADD vs eBEACOPP, a standard regimen, in the newly diagnosed, advanced-stage classical HL setting. Researchers determined the BrECADD combination ...