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.

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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
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article

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

Ruslan Akhmedullin
1 citations
Epidemiology and Health Data Insights
Meta-analysis and systematic reviews
1.40
article

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

Ruslan Akhmedullin
article en
1 citations

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.

Epidemiology and Health Data InsightsVol. 1(1)
Nazarbayev University (KZ)
Openalex Percentile: Top 16%
Meta-analysis and systematic reviews
1.40
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Overcoming the Misinterpretation of a Measure in Observational Studies: What and When? — Ruslan Akhmedullin · Epidemiology and Health Data Insights (2025) | TGRS Research Map | TGRS