Systematic Reviews: Meta-analysis and its problems

Hans Jurgen Eysenck

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Meta-analysis and systematic reviews Statistical Methods in Epidemiology Delphi Technique in Research

Abstract

Including all relevant material--good, bad, and indifferent--in meta-analysis admits the subjective judgments that meta-analysis was designed to avoid. Several problems arise in meta-analysis: regressions are often non-linear; effects are often multivariate rather than univariate; coverage can be restricted; bad studies may be included; the data summarised may not be homogeneous; grouping different causal factors may lead to meaningless estimates of effects; and the theory-directed approach may obscure discrepancies. Meta-analysis may not be the one best method for studying the diversity of fields for which it has been used.

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References

1988Statistical Methods for Meta-Analysis 1986Statistical Methods for Meta-Analysis.1980The benefits of psychotherapy 1981A Model for Personality 1991Meta-analysis in epidemiology, with special reference to studies of the association between exposure to environmental tobacco smoke and lung cancer: A critique

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