McShane, Blakeley B.; Bradlow, Eric T.; Lynch Jr., John G.; Meyer, Robert J. "Statistical Significance" and Statistical Reporting: Moving Beyond Binary. Journal of ...

The federal statistical system is facing “unprecedented strain, uncertainty and transformation” in the face of staffing losses, funding pressures and threats to statistical integrity, according to a ...

The 'Statement on Statistical Significance and P-Values' includes six principles underlying the proper use and interpretation of the p-value and is intended to improve the conduct and interpretation ...

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 ...

There are many different approaches for assessing process parameter criticality, and assessing which process parameters have a significant impact on critical quality attributes (CQAs) is a particular ...

Various statistical forecasting methods exist designed for use with slow-moving products, new product introductions, stable mature products and products with erratic demand. Determining which ...

We review the motivation for exploring the role of rare variants in phenotypic expression. There are several problems with capturing the effects of rare variants in association studies using current ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...