Low statistical power undermines the purpose of scientific research; it reduces the chance of detecting a true effect. Perhaps less intuitively, low power also reduces the likelihood that a ...

Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...

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 ...

What is a one sample t test? The t test is a commonly used hypothesis test in statistics that allows us to compare the mean value of a group of sampled data with some hypothesized value, usually a ...

So I have been thinking about the design environment for analog designers and the challenges that plague mixed signal design engineers in the new technology space as we design on process nodes that ...

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 ...

The authors present a set of statistical decision rules based on linear regression models that can be implemented in an automated trend system to assist stability studies. Submitted: Feb. 22, 2016.

Cover Story - Packaging Sterile Packaging: Sample Sizes and Statistics Determining appropriate sample sizes for operational qualifications can help manufacturers ensure sterility of medical device ...