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 ...

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.

A simulation study and a stroke case-control example show that moderate heaping of continuous variables costs little ...

A registered-report simulation study found that statistical and design interventions for improving biomedical research ...

Statistical analysis is the collection and interpretation of data in order to uncover patterns and trends. It is a component of data analytics. Statistical analysis can be used in situations like ...

Statistics is a useful tool for understanding the patterns in the world around us. But our intuition often lets us down when it comes to interpreting those patterns. In this series we look at some of ...

Suggested Citation: "Practice 3: Use of Multiple Data Sources for Statistics That Meet User Needs." National Academies of Sciences, Engineering, and Medicine. 2017. Principles and Practices for a ...