Researchers at UC San Francisco and Wayne State University prompted generative-AI chatbots to write analysis code for ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Stress-strength modeling is a fundamental concept in reliability theory and survival analysis, quantifying the probability that a system’s strength exceeds ...

TRX Gold ( NYSE: TRX) is a junior gold producer, currently operating a single gold asset, which is the Buckreef Gold Project, ...

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Objectives This scoping review aims to identify and synthesise existing statistical methods used to assess the progress of HIV treatment programmes in terms of the HIV cascade and continuum of care ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

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 ...

With the first half of this discussion in BPI’s October 2025 issue, I introduced the basics of phased stability testing, a fundamental component of ensuring biopharmaceutical quality, safety, and ...

The Center for Clinical and Translational Science (CCTS) is pleased to announce the latest recipients of CCTS Statistical and Analytic Methods Development support. This competitive program is designed ...