We have posted a preprint that addresses the six major misconceptions currently circulating with respect to meta-analysis models with an aim to dispel these and move evidence synthesis forwards. Your comments will be appreciated.
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I have listed what we believe are the six entrenched misconceptions here for ease of access:
Misconception 1: The chosen parameter assumption determines if we can infer beyond the meta-analytical set of studies.
Misconception 2: The FE model is the only model under the common parameters assumption
Misconception 3: All models that address heterogeneity are RE models
Misconception 4: Diversity in characteristics across trials (heterogeneity) should guide model selection in meta-analysis
Misconception 5: The RE model is the best way to address overdispersion seen with the FE model
Misconception 6: Heterogeneity renders the common parameters assumption to be unrealistic
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