Work

Who is afraid of non-normal data? Choosing between parametric and non-parametric tests

Year: 2020

Type: article

Abstract: When statistically comparing outcomes between two groups, researchers have to decide whether to use parametric methods, such as the t-test, or non-parametric methods, like the Mann-Whitney test. In endocrinology, for example, many studies compare hormone levels between groups, or at different points in time. Many papers apply non-parametric tests to compare groups. We will explain that non-parametric tests have clear drawbacks in medical research, and, that's the good news, they are often not necessary.

Source: European Journal of Endocrinology

DOI: 10.1530/eje-19-0922

Authors: Saskia le Cessie, Jelle J Goeman, Olaf M Dekkers

Institutions: Leiden University, Leiden University Medical Center

Language: English

Topic: Probability and Statistical Research

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W2999554262