Estimating the prevalence of missing experiments in a neuroimaging meta-analysis.
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ABSTRACT:
SUBMITTER: Samartsidis P
PROVIDER: S-EPMC7780291 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Publications
Estimating the prevalence of missing experiments in a neuroimaging meta-analysis.
Samartsidis Pantelis P Montagna Silvia S Laird Angela R AR Fox Peter T PT Johnson Timothy D TD Nichols Thomas E TE
Research synthesis methods 20200927 6
Coordinate-based meta-analyses (CBMA) allow researchers to combine the results from multiple functional magnetic resonance imaging experiments with the goal of obtaining results that are more likely to generalize. However, the interpretation of CBMA findings can be impaired by the file drawer problem, a type of publication bias that refers to experiments that are carried out but are not published. Using foci per contrast count data from the BrainMap database, we propose a zero-truncated modeling ...[more]
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