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.

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 ...

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.

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in ...

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 ...

Outliers may provide useful information about the development and manufacturing process. Analysts use various statistical methods to evaluate outliers and to reduce their impact on the analysis. This ...

Current student Rohan Rajiv is blogging once a week about important lessons he is learning at Kellogg. Read more of his posts here. In my last MBA learning post, we dove into the idea of managing ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...