Adjusting research statistical methods could transform mental health care for young people by Emily Glass, University of Cincinnati edited by Gaby Clark, reviewed by Andrew Zinin Editors' notes ...

Statistical Methods in Medical Research is a peer reviewed scholarly journal and is the leading vehicle for articles in all the main areas of medical statistics and an essential reference for all ...

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 ...

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic capabilities. A Cornell statistician and his colleague have developed a ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Inter-rater reliability (IRR) quantifies the consistency of measurements or classifications assigned by multiple observers to the same set of items. Central to IRR analysis is the distinction between ...

Method comparison studies aim to evaluate whether two or more measurement techniques yield sufficiently similar results to be used interchangeably. Traditional approaches such as linear regression and ...

In today’s evidence-driven world, there is increasing demand for researchers with the skills to design, conduct, and evaluate studies that help institutions and schools improve their decision-making ...

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 ...