Overcoming the Misinterpretation of a Measure in Observational Studies: What and When?
The measure of association in observational studies is often prone to misinterpretation, further necessitating a discussion of methodological challenges. Understanding the underlying causes and proposing proper steps may help prevent such issues in the literature. This article provides straightforward explanations of terminology and a decision tree to select appropriate measures and accurate interpretations.
Authors
- Ruslan Akhmedullin (ORCID: https://orcid.org/0009-0000-7699-0942)
Institutions
- Nazarbayev University (KZ)
Publication Details
- Journal
- Epidemiology and Health Data Insights
- Published
- 2025-05-02
- DOI
- https://doi.org/10.63946/ehdi/16216
- Citations
- 1
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 1.40