Method comparison studies and statistical agreement analysis are essential for evaluating and validating different measurement techniques across a variety of scientific and clinical disciplines. These ...

Exploratory Factor Analysis (EFA) is a pivotal statistical approach that enables researchers to uncover latent structures in complex datasets, a process that is increasingly integral to higher ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

The Department of Biostatistics research areas include both applied and theoretical statistical methods, statistical genetics, and clinical trials. Faculty, staff, and students participate in a broad ...

This paper presents a methodology for workload characterization and root cause analysis using the Arm Statistical Profiling Extension (SPE) demonstrated on a Neoverse N1 core. The target audience are ...

The UD College of Health Sciences Biostatistics Core supports the mission of the College of Health Sciences by providing comprehensive statistical expertise and services to support high-quality ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

Research published through UCLA establishes frameworks for bilingual students' learning in digital mathematics environments, addressing ...