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Мета-аналіз×Публікаційна упередженість×Систематичний огляд×
ГалузьАкадемічне письмоСтатистика дослідженьАкадемічне письмо
РодинаProcess / pipelineProcess / pipelineProcess / pipeline
Рік появи197619791992
Автор методуGlass (1976, term coining); Fisher and Pearson (statistical foundations)Robert RosenthalCochrane Collaboration (1992)
ТипDocument TypeConceptDocument Type
Основоположне джерелоPage, M. J., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. DOI ↗Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3), 638–641. DOI ↗Page, M. J., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. DOI ↗
Інші назвиquantitative synthesis, meta-synthesis, pooled analysis, statistical integrationfile drawer problem, selective reporting, outcome reporting bias, funnel plot asymmetrysystematic literature review, evidence synthesis, scoping review, mapping review
Пов'язані243
ПідсумокMeta-analysis is the statistical pooling of quantitative findings from multiple independent studies to produce a combined effect estimate. By aggregating data across studies, meta-analysis increases statistical power, reduces random error, and provides a precise summary of an intervention's effectiveness or an association's magnitude. Gene V. Glass coined the term in 1976, formalizing a technique that has become indispensable for evidence synthesis in medicine, psychology, education, and other evidence-based disciplines.Publication bias occurs when the results of a study influence whether the study is published. Typically, studies with statistically significant or positive results are more likely to be published than studies with non-significant or negative results, even if both are scientifically valid. This bias distorts the published literature, making treatments appear more effective than they actually are. Rosenthal (1979) termed this the 'file drawer problem': research with null results sits in file drawers, unpublished, creating a biased sample of published evidence. Funnel plots and statistical tests (e.g., Egger test) can detect asymmetry suggesting publication bias; meta-analyses must account for this bias.A systematic review is a structured, transparent synthesis of all available evidence addressing a specific research question. Unlike narrative reviews, systematic reviews employ comprehensive database searches, predefined selection criteria, quality assessment, and rigorous reporting (PRISMA guideline). The Cochrane Collaboration (founded 1992) established this methodology as the gold standard for evidence synthesis in healthcare and social sciences.
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ScholarGateПорівняння методів: Meta-Analysis · Publication Bias · Systematic Review. Отримано 2026-06-19 з https://scholargate.app/uk/compare