September 17, 2025Open Access

Graphical Examples Show Why Caution Is Required When Using the Coefficient of Determination (R²) to Interpret Data for Medical Case Reports

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Observational analysis highlights that R² values may misrepresent treatment benefits in medical data, suggesting caution in their use.

Understanding R² in medical data is crucial, as it may not accurately indicate treatment benefits.
In hypothetical scenarios, R² values did not show a clear trend with treatment days, raising questions about their reliability.
Score averaging can artificially inflate R² values while keeping averages constant, complicating the interpretation of treatment effects.
Line graphs may be a clearer way to represent non-linear data in medical case reports, emphasizing the importance of data visualization.

Thomas Hurr (2025) studied this question.

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