Literature DB >> 29497557

Protocol for a Systematic Review of Effect Sizes and Statistical Power in the Rodent Fear Conditioning Literature.

Thiago C Moulin1, Clarissa F D Carneiro1, Malcolm R Macleod2, Olavo B Amaral1.   

Abstract

The concepts of effect size and statistical power are often disregarded in basic neuroscience, and most articles in the field draw their conclusions solely based on the arbitrary significance thresholds of statistical inference tests. Moreover, studies are often underpowered, making conclusions from significance tests less reliable. With this in mind, we present the protocol of a systematic review to study the distribution of effect sizes and statistical power in the rodent fear conditioning literature, and to analyze how these factors influence the description and publication of results. To do this we will conduct a search in PubMed for "fear conditioning" AND ("mouse" OR "mice" OR "rat" OR "rats") and obtain all articles published online in 2013. Experiments will be included if they: (a) describe the effect(s) of a single intervention on fear conditioning acquisition or consolidation; (b) have a control group to which the experimental group is compared; (c) use freezing as a measure of conditioned fear; and (d) have available data on mean freezing, standard deviation and sample size of each group and on the statistical significance of the comparison. We will use the extracted data to calculate the distribution of effect sizes in these experiments, as well as the distribution of statistical power curves for detecting a range of differences at a threshold of α=0.05. We will assess correlations between these variables and (a) the chances of a result being statistically significant, (b) the way the result is described in the article text, (c) measures to reduce risk of bias in the article and (d) the impact factor of the journal and the number of citations of the article. We will also perform analyses to see whether effect sizes vary systematically across species, gender, conditioning protocols or intervention types.

Entities:  

Year:  2016        PMID: 29497557      PMCID: PMC5828109          DOI: 10.1002/ebm2.16

Source DB:  PubMed          Journal:  Evid Based Preclin Med


  15 in total

Review 1.  Neurobiology of Pavlovian fear conditioning.

Authors:  S Maren
Journal:  Annu Rev Neurosci       Date:  2001       Impact factor: 12.449

2.  Differential contribution of amygdala and hippocampus to cued and contextual fear conditioning.

Authors:  R G Phillips; J E LeDoux
Journal:  Behav Neurosci       Date:  1992-04       Impact factor: 1.912

Review 3.  Effect size, confidence interval and statistical significance: a practical guide for biologists.

Authors:  Shinichi Nakagawa; Innes C Cuthill
Journal:  Biol Rev Camb Philos Soc       Date:  2007-11

Review 4.  How can we improve the pre-clinical development of drugs for stroke?

Authors:  Emily Sena; H Bart van der Worp; David Howells; Malcolm Macleod
Journal:  Trends Neurosci       Date:  2007-08-31       Impact factor: 13.837

Review 5.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

Review 6.  Molecular mechanisms of fear learning and memory.

Authors:  Joshua P Johansen; Christopher K Cain; Linnaea E Ostroff; Joseph E LeDoux
Journal:  Cell       Date:  2011-10-28       Impact factor: 41.582

7.  The use of predicted confidence intervals when planning experiments and the misuse of power when interpreting results.

Authors:  S N Goodman; J A Berlin
Journal:  Ann Intern Med       Date:  1994-08-01       Impact factor: 25.391

8.  Meta-analysis of data from animal studies: a practical guide.

Authors:  H M Vesterinen; E S Sena; K J Egan; T C Hirst; L Churolov; G L Currie; A Antonic; D W Howells; M R Macleod
Journal:  J Neurosci Methods       Date:  2013-10-04       Impact factor: 2.390

9.  Risk of Bias in Reports of In Vivo Research: A Focus for Improvement.

Authors:  Malcolm R Macleod; Aaron Lawson McLean; Aikaterini Kyriakopoulou; Stylianos Serghiou; Arno de Wilde; Nicki Sherratt; Theo Hirst; Rachel Hemblade; Zsanett Bahor; Cristina Nunes-Fonseca; Aparna Potluru; Andrew Thomson; Julija Baginskaite; Julija Baginskitae; Kieren Egan; Hanna Vesterinen; Gillian L Currie; Leonid Churilov; David W Howells; Emily S Sena
Journal:  PLoS Biol       Date:  2015-10-13       Impact factor: 8.029

10.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

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  1 in total

Review 1.  Effect size and statistical power in the rodent fear conditioning literature - A systematic review.

Authors:  Clarissa F D Carneiro; Thiago C Moulin; Malcolm R Macleod; Olavo B Amaral
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

  1 in total

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