"The myths in the paper are problems within statistical analysis, things researchers should keep in mind and errors repeatedly being made," said Mills, professor of economics in UC's Carl H. Lindner ...

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 ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

The National Spinal Cord Injury Statistical Center (NSCISC), located at the University of Alabama at Birmingham (UAB) Department of Physical Medicine and Rehabilitation, supports and directs the ...

Institutional Data Analytics + Assessment offers services to the campus community for little to no cost. The table below describes the different areas of IDA+A and what types of services are available ...

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 ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

Usually when it comes to writing, mathematics and statistics probably aren’t the first things that come to mind. However, quite the number of us have had to face an instance where a source based on ...

In the early 1920s, a trio of scientists sat down for a break at Rothamsted agricultural research station in Hertfordshire, UK. One of them, a statistician by the name of Ronald Fisher, poured a cup ...