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

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 perennial question facing all banks is, “What volume of lending in Majority-Minority census tracts and mortgages extended to minority home borrowers must we do to avoid redlining allegations by ...

Many bankers hear the term “Statistical Significance” but don’t know what it means and how it is relevant to potential fair lending violations. Typically, when an examiner is evaluating if a bank is ...

Unsupervised clustering is widely applied in single-cell RNA-sequencing (scRNA-seq) workflows. The goal is to detect distinct cell populations that can be annotated as known cell types or discovered ...

Every research lab is constantly innovating; either by creating something new or by understanding the equations and statistics underlying each vital subject, the stakes are high. With trillions of ...

Interpretations of therapeutic superiority in phase III oncology trials rely on statistical significance 1. Statistical significance is defined by achieving a certain P value in the survival model ...