Although it is the goal of most statistical investigation, causal inference has traditionally been ignored by statistical theory. Fortunately, there is now intense activity in a number of fields, ...

Statistical inference comprises the framework by which data are used to draw conclusions about underlying phenomena or populations. At its heart lies hypothesis testing, a procedure that evaluates ...

Big Data—broadly considered as datasets whose size, complexity, and heterogeneity preclude conventional approaches to storage and analysis—continues to generate interest across many scientific domains ...

The rapid accumulation of genome sequence data has made phylogenetics an indispensable tool to various branches of biology. However, it has also posed considerable statistical and computational ...

Principles and Practices for a Federal Statistical Agency is the flagship publication of the Committee on National Statistics. Preparations for the report’s 8th edition have begun. The report is ...

Scientists should stop using the term 'statistically significant' in their research, urges this editorial in a special issue of The American Statistician published today. The issue, Statistical ...

Scientists should stop using the term 'statistically significant' in their research, researchers urge. Scientists should stop using the term 'statistically significant' in their research, urges this ...