Abstract Engineered Nanoparticles (ENPs) present novel/added challenges to the
established effect assessment modus operandi, requiring an update of used methods. ENPs …

Background Variable selection is an important issue in many fields such as public health
and psychology. Researchers often gather data on many variables of interest and then are …

A number of studies point to slow (0.1–2 Hz) brain rhythms as the basis for the resting-state
functional magnetic resonance imaging (rsfMRI) signal. Slow waves exist in the absence of …

Background Previous research has suggested possible sex-related differences in executive
functioning among cocaine users; however, no studies specifically explain sex-related …

During the last two decades, many experiments have examined the ability of cell transplants
to ameliorate the loss of function after spinal cord injuries, with the hope of developing …

Multicollinearity between predictors is a common concern in SEM applications. As in linear
regression models, high correlations between predictors can lead to unstable parameter …

Advanced imaging techniques (tractography) enable the mapping of white matter (WM)
pathways and the understanding of brain connectivity patterns. We combined tractography …

When interpreting A/B tests, we typically focus only on the statistically significant results and
take them by face value. This practice, termed post-selection inference in the statistical …

Since its outbreak in December 2019, COVID-19 has spread rapidly across the world. To
slow down the spread of the pandemic, various countries have implemented a series of …

Fay and Brittain present statistical hypothesis testing and compatible confidence intervals,
focusing on application and proper interpretation. The emphasis is on equipping applied …