A statistical approach being used to support a new class of Alzheimer's drugs may lead to overstated claims about how the ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for ...

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 ...

I earned a Ph.D. from Capella University in 2006 by applying statistical methods to explain some positive health outcomes of lifelong learning.

Resources for observational comparative research have expanded enormously in recent years to include very large sources of ...

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 ...

In a new draft guidance issued on January 14, 2026, the FDA discussed the use of a modern statistical methodology in clinical trials designed to show the effectiveness of a new drug.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

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 ...

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 ...

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 ...