Reviewing Comments

  • Personal comments

    This website section includes suggestions, explanations, and motivations that may be useful when writing or reviewing research reports for scientific journals. Unless otherwise stated, all comments represent my personal opinions, which I have developed during my work as a statistical consultant and editor. The comments assume that the reader has some experience with empirical research,…

  • The ICMJE Guidelines

    The International Committee of Medical Journal Editors (ICMJE) recommendations for manuscript preparation (https://icmje.org) are essential for authors and reviewers. Two guidelines stand out for their critical role in scientific reporting: first, regarding clear and detailed descriptions of used statistical methods, and second, the distinguishing between clinical and statistical significance. The guideline to “describe statistical methods…

  • Scientific journals and statistical reviewing

    The publication of research reports was an essential part of the Enlightenment. The first two scientific journals were the British Philosophical Transactions of the Royal Society and the French Journal des Sçavans, both of which started their activities in 1665. Today, 359 years later, the number of scientific journals exceeds 30,000. The primary purpose of…

  • Heterogeneity in meta-analyses

    When performing a meta-analysis, the investigator often experiences heterogeneity problems; the effects planned to be pooled in a meta-analysis are more heterogeneous than could be expected just from sampling variation. One solution to the problem is to try to estimate an average effect instead of a common one. Technically, this means fitting a random-effects model…

  • Adjustment problems

    Confounding refers to a situation where the effect of a studied risk factor on a specific outcome is mixed with the effect of a factor not accounted for in the analysis. This other factor, known as a confounder, can distort (bias) the risk factor’s estimated effect and mislead the investigator. The problem can arise if…

  • Avoidable mistakes – significance

    Most reports are probably written with the intention of being clear, coherent, and stringent. However, methodological misunderstandings cause many publications to be vague, ambiguous, and confusing. Misinterpretation of statistical significance plays a major role in this problem. In modern medicine, research is usually based on a dataset. Statistical methods produce p-values, which are used to…

  • Spin

    Spin is usually defined as reporting practices that distort the interpretation of results and mislead readers to view them in a more favourable light. A research report usually starts with a clear research question and ends with a conclusion empirically supported by the studied data. Speculations and hypotheses can be presented, but unsubstantiated claims must…

  • Significance and dogma

    Statistical inference is essential for evaluating empirical support for medical research findings. Still, much medical research is methodologically poor. The problem is not that medical research fails to employ statistical methods; on the contrary, research reports usually include large numbers of p-values. The poor quality is more related to the misconception that statistical methodology is…


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