Finding a convincing explanation of a complex issue is no easy task. The decision about what qualifies as the "best" solution is inevitably subject to biases and approximations. Coupling statistics ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

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 ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

In human populations, it is relatively easy to calculate demographic trends and make projections for the future if data on basic processes such as births and immigration is known. The data, given by ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

When researchers conduct many statistical tests simultaneously, the chance of obtaining false positives increases. Traditional methods for multiple comparisons, such ...

This workshop will explore opportunities to use statistical and data-driven methods for additive manufacturing qualification, including approaches that enhance dimensional accuracy and recent advances ...

A new collection in the Ecological Society of America’s journal Ecology compiles landmark studies published in its pages over the past 100 years that have advanced the use of statistics in ecology.

In a new draft guidance issued on January 14, 2026, the FDA discussed the use of a modern statistical methodology in clinical trials designed to show the effectiveness of a new drug. The guidance, ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...