Published article which provides an introduction to nonparametric tests, including the history, principles, advantages and disadvantages, and practical examples.
What this resource offers
The author discusses nonparametric statistical methods and their comparability to parametric methods for small sample sizes, which is very applicable to medical research questions. The article includes:
- a brief history of nonparametric statistical analysis,
- a clear description of the basic principles of nonparametric statistical analysis,
- an excellent explanation of the advantages and disadvantages of nonparametric statistical methods, and
- helpful examples for each nonparametric statistical test discussed.
This article is probably best suited for those who have already had some exposure to basic parametric statistical methods (such as t-tests) via a formal class or an in-depth workshop.
Who created it
This article was written by Francis Sahngun Nahm, MD, PhD, a professor at Seoul National University’s Bundang Hospital.
Citation
Francis Sahngun Nahm (2016), “Nonparametric statistical tests for the continuous data: the basic concept and the practical use”, Korean Journal of Anesthesiology, 69(1), 8-14, DOI: 10.4097/kjae.2016.69.1.8.