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Estimating the prevalence of missing experiments in a neuroimaging meta-analysis

2017-11-27

Abstract excerpt

Coordinate-based meta-analyses (CBMA) allow researchers to combine the results from multiple fMRI experiments with the goal of obtaining results that are more likely to generalise. However, the interpretation of CBMA findings can be impaired by the file drawer problem, a type of publications bias that refers to experiments that are carried out but are not published. Using foci per contrast count data from the Brai...

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Literature Corpus work
f42516c4-79a9-594a-8c7e-d6cd167cb556
DOI
10.1101/225425
Open publication

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Estimating the prevalence of missing experiments in a neuroimaging meta-analysisDOI 10.1101/225425
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