EPIDEMIOLOGY AND HEALTH DATA INSIGHTS
Methodological Paper

Overcoming the Misinterpretation of a Measure in Observational Studies: What and When?

Epidemiology and Health Data Insights, 1(1), 2025, ehdi001, https://doi.org/10.63946/ehdi/16216
Publication date: May 02, 2025
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ABSTRACT

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.

KEYWORDS

Measure of Effect Bias Statistical Analysis

CITATION (Vancouver)

Akhmedullin R. Overcoming the Misinterpretation of a Measure in Observational Studies: What and When?. Epidemiology and Health Data Insights. 2025;1(1):ehdi001. https://doi.org/10.63946/ehdi/16216
APA
Akhmedullin, R. (2025). Overcoming the Misinterpretation of a Measure in Observational Studies: What and When?. Epidemiology and Health Data Insights, 1(1), ehdi001. https://doi.org/10.63946/ehdi/16216
Harvard
Akhmedullin, R. (2025). Overcoming the Misinterpretation of a Measure in Observational Studies: What and When?. Epidemiology and Health Data Insights, 1(1), ehdi001. https://doi.org/10.63946/ehdi/16216
AMA
Akhmedullin R. Overcoming the Misinterpretation of a Measure in Observational Studies: What and When?. Epidemiology and Health Data Insights. 2025;1(1), ehdi001. https://doi.org/10.63946/ehdi/16216
Chicago
Akhmedullin, Ruslan. "Overcoming the Misinterpretation of a Measure in Observational Studies: What and When?". Epidemiology and Health Data Insights 2025 1 no. 1 (2025): ehdi001. https://doi.org/10.63946/ehdi/16216
MLA
Akhmedullin, Ruslan "Overcoming the Misinterpretation of a Measure in Observational Studies: What and When?". Epidemiology and Health Data Insights, vol. 1, no. 1, 2025, ehdi001. https://doi.org/10.63946/ehdi/16216

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