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Estudi de casos i controls metaanalític×Estudi de casos i controls aparellats×
CampEpidemiologiaEpidemiologia
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1980s–2000 (formalized with MOOSE reporting guidelines in 2000)1950s–1970s
Autor originalSystematic development attributed to multiple epidemiologists; MOOSE guidelines formalized by Stroup et al.Brian MacMahon and others; systematised by Schlesselman (1982)
TipusObservational study synthesisObservational analytic design
Font seminalShapiro, S. (1994). Meta-analysis/Shmeta-analysis. American Journal of Epidemiology, 140(9), 771-778. DOI ↗Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474
Àliespooled case-control analysis, case-control meta-analysis, meta-analytic case-control design, systematic pooled case-controlmatched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design
Relacionats45
ResumA meta-analytic case-control study systematically identifies, critically appraises, and quantitatively synthesizes data from multiple independent case-control studies examining the same exposure-disease relationship. By pooling odds ratios across studies, it yields a more precise and generalizable estimate of association than any single study can provide, while formally quantifying heterogeneity across populations, settings, and study periods.A matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure history is then compared between cases and their matched controls to estimate the odds ratio of the exposure-disease association.
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ScholarGateCompara mètodes: Meta-analytic case-control study · Matched case-control study. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare