An introductory guide to statistics for the radiologist
Radiology generates both qualitative and quantitative data. As a consequence, statistical analysis is essential to validate data interpretation, and support reliable conclusions. Statistics serves as a cornerstone of radiology research, objectively verifying observations and establishing relationships between variables. This article provides a practical guide to basic statistical methods for radiology researchers, enabling them to structure their analyses more effectively and highlight their findings in a meaningful way. Although not exhaustive, this article covers basic statistical principles.
Authors
- Emma O’Shaughnessy (ORCID: https://orcid.org/0000-0003-3989-6652)
- Augustin Lecler (ORCID: https://orcid.org/0000-0001-7869-1815)
- Philippe Soyer (ORCID: https://orcid.org/0000-0002-5055-1682)
- Emmanuel Detrinidad
Institutions
- Université Paris Cité (FR)
- Sorbonne Université (FR)
- Hôpital Rothschild (FR)
- Hôpital Cochin (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Pitié-Salpêtrière Hospital (FR)
- Fondation Ophtalmologique Adolphe de Rothschild (FR)
- Fondation de Rothschild (FR)
- University of Castilla-La Mancha (ES)
Publication Details
- Journal
- Diagnostic and Interventional Imaging
- Published
- 2024-12-07
- DOI
- https://doi.org/10.1016/j.diii.2024.11.003
- Citations
- 36
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 14.55