Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2022 Aug;23(8):777-784.
doi: 10.3348/kjr.2022.0249. Epub 2022 May 31.

How to Clearly and Accurately Report Odds Ratio and Hazard Ratio in Diagnostic Research Studies?

Seong Ho Park  1 , Kyunghwa Han  2
Affiliations
Editorial

How to Clearly and Accurately Report Odds Ratio and Hazard Ratio in Diagnostic Research Studies?

Seong Ho Park et al. Korean J Radiol. 2022 Aug.
No abstract available

Keywords: Hazard ratio; Logistic regression; Odds ratio; Reporting; Statistical analysis; Survival analysis.

PubMed Disclaimer

Conflict of interest statement

Seong Ho Park and Kyunghwa Han who are on the editorial board of the Korean Journal of Radiology were not involved in the editorial evaluation or decision to publish this article.

Figures

Fig. 1
Fig. 1. Diagnostic cross-tables showing the case-control and diagnostic cohort designs.
D+ = patients with the disease, D- = patients without the disease, F+ = patients with a finding in the test, F- = patients without a finding in the test
Fig. 2
Fig. 2. Examples of transparent, accurate reporting of odds ratio and hazard ratio.
A-C. Red rectangles indicate areas of note. (A) Modified from Kim et al. Korean J Radiol 2021;22:1640-1649, with permission of the Korean Society of Radiology [19]. (B) Modified from Kim et al. Korean J Radiol 2022;23:172-179, with permission of the Korean Society of Radiology [41]. (C) Modified from Kwon et al. Korean J Radiol 2021;22:1985-1995, with permission of the Korean Society of Radiology [45].
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Park SH, Han K, Park SY. Mistakes to avoid for accurate and transparent reporting of survival analysis in imaging research. Korean J Radiol. 2021;22:1587–1593. - PMC - PubMed
    1. Park SH. Diagnostic case-control versus diagnostic cohort studies for clinical validation of artificial intelligence algorithm performance. Radiology. 2019;290:272–273. - PubMed
    1. Park SH, Choi J, Byeon JS. Key principles of clinical validation, device approval, and insurance coverage decisions of artificial intelligence. Korean J Radiol. 2021;22:442–453. - PMC - PubMed
    1. Park SH, Han K. Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction. Radiology. 2018;286:800–809. - PubMed
    1. Yang X, Lu X, Liu J, Kan Y, Wang W, Zhang S, et al. Development and validation of 18F-FDG PET/CT-based multivariable clinical prediction models for the identification of malignancy-associated hemophagocytic lymphohistiocytosis. Korean J Radiol. 2022;23:466–478. - PMC - PubMed

Publication types