A crucial part of statistical analysis is evaluating a model's quality and fit, or performance.
During analysis, especially with regression models, investigating the fit of models to data …

Graphical displays can reveal problems in a statistical model that might not be apparent from
purely numerical summaries. Such visualizations can also be helpful for the reader to …

The maximal number of repetitions that can be completed at various percentages of the one
repetition maximum (1RM)[REPS~% 1RM relationship] is foundational knowledge in …

Self-organizing neural organoids grown from pluripotent stem cells,–combined with single-
cell genomic technologies provide opportunities to examine gene regulatory networks …

The recent growth of data science is partly fueled by the ever-growing amount of data and
the joint important developments in statistical modeling, with new and powerful models and …

Turmoil has engulfed psychological science. Causes and consequences of the
reproducibility crisis are in dispute. With the hope of addressing some of its aspects …

Correlations tests are arguably one of the most commonly used statistical procedures, and
are used as a basis in many applications such as exploratory data analysis, structural …

As countries adopt more permissive cannabis policies, it is increasingly important to identify
strategies that can reduce the harmful effects of cannabis use. This study aimed to determine …

Long-term analyses of biodiversity data highlight a 'biodiversity conservation paradox':
biological communities show substantial species turnover over the past century,, but …

Animal coloration is one of the most conspicuous aspects of human-perceived organismal
diversity, yet also one of the least understood. In particular, explaining why species have …