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So You Want To Be a Reviewer?

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Statistical review is almost always needed for peer-reviewed journals to ensure proper evaluation of a study's sample size, sampling, randomization, blinding, interpretation of findings, and appropriate handling of uncertainty through confidence intervals. Reviewers should check that authors provide confidence intervals that exclude clinically relevant differences when finding no effect, and that interpret the range of possible values when finding a difference. This helps improve the rigor and reliability of clinical research.

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Aleksandra Turkiewicz, PhD, CStat Associate editor for statistics, Osteoarthritis and Cartilage Clinical epidemiology unit, Lund University, Lund, Sweden So You Want To Be a Reviewer? Tips for Writing an Effective Review for Peer-Reviewed Journals
Disclosures None
When do we need statistical review? (Almost) always Deputy editor: Prof. Jonas Ranstam Lund University Associate editor: Prof. Simon Skene University of Surrey
Sample size Sampling Randomization Blinding The Four Riders of the Apocalypse (1498) Albrecht Durer The four horsemen of the Apocalypse
Interpretation of findings
@dr_englund
Embrace uncertainty! 1. no difference demand a confidence interval that excludes biologically/clinically relevant difference 2. there was a difference demand a confidence interval and interpretation of the values included in this interval 3. significant the authors probably have little to come with YouUncertainty Bartolomeo Cesi
So You Want To Be a Reviewer?

More Related Content

So You Want To Be a Reviewer?

  • 1. Aleksandra Turkiewicz, PhD, CStat Associate editor for statistics, Osteoarthritis and Cartilage Clinical epidemiology unit, Lund University, Lund, Sweden So You Want To Be a Reviewer? Tips for Writing an Effective Review for Peer-Reviewed Journals
  • 3. When do we need statistical review? (Almost) always Deputy editor: Prof. Jonas Ranstam Lund University Associate editor: Prof. Simon Skene University of Surrey
  • 4. Sample size Sampling Randomization Blinding The Four Riders of the Apocalypse (1498) Albrecht Durer The four horsemen of the Apocalypse
  • 7. Embrace uncertainty! 1. no difference demand a confidence interval that excludes biologically/clinically relevant difference 2. there was a difference demand a confidence interval and interpretation of the values included in this interval 3. significant the authors probably have little to come with YouUncertainty Bartolomeo Cesi

Editor's Notes

  • #5: how was the sample size arrived at? how were the participants/samples selected? what was randomized (cell wells, joints, animals, humans) and how? - in conduct of experiment how or why not? In assessment of outcome a must have in experimental research!
  • #6: Criticism of the use of p-values is almost as old as p-values but has intensified in recent years and this for good reason. In effect the concept of statistical significance has died recently.
  • #7: Statistical significance has recently died. Why is p-value, and especially classifying results into statistically significant and non-significant so bad? There are many reasons, but some of the main ones are: - a large p-value does not mean that there is no difference - a small p-value does not mean that there is a difference - It is not important at all if there is a difference or if there is no difference, such a distinction is artificial. What matters is how big is the difference and what biological and clinical consequences and meaning does a difference of this size have. And p-values does not answer this crucial question. Further, practically any data can be analysed in a way that will lead to a statistically significant p-value through data driven decisions, both conscious and unconscious. I think we should all be happy that it is gone and dance on its grave. So what to do instead?
  • #8: Two men in Florence kissing