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Top 10 statistical pitfalls: a reviewer’s guide to avoiding common errors

heartjnl · 2026-01-09 · canonical JSON source

2 visible annotations · policy: published · automated confidence ≥ 75.00%

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Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over 200 articles reviewed for journals such as Heart and Addiction since 2021, two differing and distinct research areas, I (DJG) have identified 10 common statistical mistakes that authors frequently make. Together with two academic colleagues, we present these issues in a concise, direct and accessible way to help researchers avoid them. This article will not repeat the pitfalls documented previously; rather, it reflects independent observations on statistical and presentational issues frequently made by authors across various medical fields.