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How to assess publication bias: funnel plot, trim-and-fill method and selection models
  1. Dimitris Mavridis1,2,
  2. Georgia Salanti1
  1. 1Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
  2. 2Department of Primary Education, University of Ioannina, Ioannina, Greece
  1. Correspondence to Dr Dimitris Mavridis, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; dimi.mavridis{at}

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This new section of the Journal is aimed at providing the essential information readers should know about the topics that are addressed in the “Statistics in practice” paper published in the same issue of the journal. This stand-alone section has to be seen as an articulated summary of the main notions clinicians have to know about some basic concepts in statistics, which may be useful for their evidence based practice. After going through these notes, readers are encouraged to read the “Statistics in practice” articles. Of course, we welcome any feedback from you (via email or Twitter) about this!

The EBMH Editors

Funnel plot

A funnel plot is a scatter plot of the treatment effect estimates from individual trials against a measure of study's precision (usually the standard error (SE)).1

  • Asymmetry in the funnel plot should not be automatically equated with …

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  • Funding Dimitris Mavridis and Georgia Salanti received research funding from the European Research Council (IMMA 260559).

  • Competing interests None.