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

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: ...

Jane Marsh, Editor-In-Chief at Environment.co, explores how advanced data analytics and digital technologies can revitalise ...

In systemic lupus erythematosus, chronic spontaneous urticaria did not raise SLEDAI scores, but cylindruria, mucosal ulcers, ...

A multicentre retrospective study has found that chronic spontaneous urticaria (CSU) occurring in patients with systemic ...

Registry-based data indicate that comorbid sleep disorders are common in severe asthma and are associated with significantly ...

A research team reveals that soils surrounding intensive livestock farms can become hotspots for antibiotic resistance genes ...

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

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

Germany: Higher Dermatology Life Quality Index (DLQI) scores were positively correlated with addictive behaviors, suggesting ...

Sea foams are caused by algal blooms and can represent large areas in coastal waters during ocean fronts associated with ...

Abstract: Multivariate time series anomaly detection (MVT-SAD) is a significant data mining task with numerous applications in the IoT era. Nowadays, with the advancement of deep learning technology, ...