A modern-day physician is faced with a vast abundance of clinical and scientific data, by far
surpassing the capabilities of the human mind. Until the last decade, advances in data …

Statistical tests carry with them a number of assumptions that must be checked. Failing to do
so and to report the results of such preliminary analyses introduce a potential threat to the …

Statistical methods generally have assumptions (eg, normality in linear regression models).
Violations of these assumptions can cause various issues, like statistical errors and biased …

At the onset of the coronavirus pandemic, sales of nonperishable food drastically increased
in Germany. Reports of hoarding and panic buying flooded the media. To identify the drivers …

Significantly revised, the fifth edition of the most complete, accessible text now covers all
three approaches to structural equation modeling (SEM)--covariance-based SEM …

The Problem Journal pages are filled with articles that scarcely mention the assumptions
behind the chosen statistical techniques and models. Based on questionable foundations …

When entering the university setting, poor sleep quality is reportedly prevalent among
students and has been linked to a range of adverse health outcomes, including reduced …

Biological assays are essential tools in biomedical and pharmaceutical research. In simplest
terms, such an assay is an analytical method used to measure or predict a response in a …

Reporting of statistical analysis is essential in any clinical and translational research study.
However, medical research studies sometimes report statistical analysis that is either …

While some scientists study insects, molecules, brains, or clouds, other scientists study
science itself. Meta-research, or research-on-research, is a burgeoning discipline that …