Meta-analysis

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Meta-analysis
Variations:

Metanalysis
Meta-analyses
meta-analytic

Category: Meta-analysis
Parents:

Research synthesis

Children:

Coordinate-based meta-analysis
Image-based meta-analysis

Databases: Wikipedia with DBpedia
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Papers: DOAJ Google Scholar PubMed
Ontologies: MeSH NeuroLex Wikidata Wikipedia
Other: Google Twitter WolframAlpha

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Meta-analysis is a statistical analysis of multiple independent studies.

Issues with meta-analysis:

Details:

Contents

[edit] Databases and Services

  • BiND, bipolar disorder brain volume
  • MaND, major depressive disorder brain volume
  • ObND, obsessive-compulsive disorder brain volumes

[edit] Tools

[edit] Researchers

  1. Finn Årup Nielsen
  2. John P. A. Ioannidis
  3. Marcus R. Munafò
  4. Matthew J. Kempton
  5. Matthias Egger
  6. Peter C. Gøtzsche

[edit] Works

[edit] Books

  1. Systematic reviews in health care: meta-analysis in context

[edit] Papers : Methodology

  1. Imputing missing standard deviations in meta-analyses can provide accurate results
  2. Measuring inconsistency in meta-analyses
  3. The case of the misleading funnel plot
  4. Uncertainty in heterogeneity estimates in meta-analyses

[edit] "Meta-meta-analyses"

  1. Excess significance bias in the literature on brain volume abnormalities
  2. Relationships fade with time: a meta-analysis of temporal trends in publication in ecology and evolution

[edit] Others

  1. Meta-analytic methods for neuroimaging data explained
  2. Data extraction errors in meta-analyses that use standardized mean differences

[edit] See also

[edit] References

  1. Data extraction errors in meta-analyses that use standardized mean differences
  2. Systematic review of the empirical evidence of study publication bias and outcome reporting bias
  3. Early extreme contradictory estimates may appear in published research: the Proteus phenomenon in molecular genetics research and randomized trials
  4. The case of the misleading funnel plot
  5. Measuring inconsistency in meta-analyses
  6. Meta-analysis in clinical research
  7. Exploring heterogeneity in meta-analysis: is the L'Abbé plot useful?
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