Proper statistical analysis begins with understanding the specific comparison being made. Common mistakes often stem from ...

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.

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 ...

Suggested Citation: "1 Introduction." National Research Council. 1998. Statistics, Testing, and Defense Acquisition: New Approaches and Methodological Improvements ...

NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of ...

It is still common to see statistical testing of baseline data of clinical trials in an attempt to prove that two or more groups to whom patients have been randomised are comparable. For example, ...

During his Ph.D. research, mathematician Tyron Lardy worked on a new approach to hypothesis testing. Instead of the traditional p-value, he uses so-called e-values. These turn out to be more ...

A study has validated a new statistical model that uses multiple standardized test scores over time to predict future academic performance. The dynamic measurement model accurately predicted academic ...

Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society committee, and has a degree in accounting and finance from DePaul University. Vikki Velasquez is a researcher and writer who has ...