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 ...

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...

In the middle of the 20 th century, the field of psychology had a problem. In the wake of the Manhattan Project and in the early days of the space race, the so-called “hard sciences” were producing ...

A recent study that questioned the healthfulness of eggs raised a perpetual question: Why do studies, as has been the case with health research involving eggs, so often flip-flop from one answer to ...

Valen E. Johnson receives funding from the National Institutes of Health to perform biostatistical research on the selection of variables associated with cancer and cancer research. In their ...

The first of the Spring 2010 LISA Short Courses was “An Introduction to Statistical Analysis,” by Dr. Eric Vance, the director of LISA (Laboratory for Interdisciplinary Statistical Analysis). We ...

A recent study that questioned the healthfulness of eggs raised a perpetual question: Why do studies, as has been the case with health research involving eggs, so often flip-flop from one answer to ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...