Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. **Overinterpretation** refers to the act of assigning **excessive meaning or significance** to data, results, or events — **going beyond what the evidence actually supports**. ### In research or clinical settings, overinterpretation might involve: - **Claiming causation** when only an **association** is shown. - **Drawing broad conclusions** from a **small sample** or **weak data**. - Treating a **surrogate marker** as if it guarantees a clinical outcome (when it’s not validated). - **Overstating the relevance** of a statistically significant finding that lacks clinical importance. ### Example: If a new drug lowers a biomarker but there’s **no proof** that it improves survival, and yet the study claims it “saves lives” — that’s overinterpretation. overinterpretation.txt Last modified: 2025/03/21 10:02by 127.0.0.1