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In a new draft guidance issued on January 14, 2026, the FDA discussed the use of a modern statistical methodology in clinical trials designed to show the effectiveness of a new drug.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

To claim federal income tax credits for a research project, a taxpayer must prove that the project satisfies each prong of a four-part test. In IRS Field Attorney Advisory 20212501F (June 25, 2021), ...

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 ...

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 ...

We have updated the findings with data from 311 articles published in volumes 350 through 352 (January 2004 through June 2005). For each article, we reviewed the Methods section and scanned the ...

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.

Statistical methods, as a technique, encompass a set of quantitative procedures for collecting, summarizing, modeling, and inferring properties of data under uncertainty. They include techniques for ...

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 ...