In statistics, data collection is a difficult process that demands thoughtful consideration. Securing a sufficient sample ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

For decades, Arieh Warshel, USC Distinguished Professor of Chemistry and a 2013 Nobel laureate, has used computer simulations ...

Researchers at North Carolina State University have developed a new suite of statistical methods that dramatically improves the ability to pinpoint DNA changes responsible for important traits in ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Students in the School of Social and Behavioral Sciences and those studying forensic psychology may encounter difficulty in their statistics and research methods classes, but the Statistics and ...

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...

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 ...