A research team at the University of Vienna, led by pharmaceutical chemist Johannes Kirchmair, has developed a statistical ...

How much can we really trust a measurement? And how much data do researchers need to collect to draw reliable conclusions?

One of the principal goals in functional magnetic resonance imaging (fMRI) is the detection of local activation in the human brain. However, lack of statistical power and inflated false positive rates ...

Uncover the latest and most impactful research in Statistical Literacy and Education Practices. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field.

Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...

An alternative statistical method honed and advanced by Cornell researchers can make clinical trials more reliable and trustworthy while also helping to remedy what has been called a "replicability ...

Improving statistical methods to protect wildlife populations Threats affecting more and more species Date: May 22, 2024 Source: University of Barcelona Summary: In human populations, it is relatively ...

A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues. A new statistical ...

Precision oncology exploits genomic, immunologic, and other biomarkers to drive discovery, drug development, and clinical care for patients with cancer. Precision oncology helps devise individualized ...

Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, such as science, engineering, business, medicine, ...