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Direct linkPetersen, Julie M.; Barrett, Malcolm; Ahrens, Katherine A.; Murray, Eleanor J.; Bryant, Allison S.; Hogue, Carol J.; Mumford, Sunni L.; Gadupudi, Salini; Fox, Matthew P.; Trinquart, Ludovic – Research Synthesis Methods, 2022
Systematic reviews and meta-analyses are essential for drawing conclusions regarding etiologic associations between exposures or interventions and health outcomes. Observational studies comprise a substantive source of the evidence base. One major threat to their validity is residual confounding, which may occur when component studies adjust for…
Descriptors: Bias, Meta Analysis, Etiology, Intervention
Oort, Frans J.; Jak, Suzanne – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) involves fitting models to a common population correlation matrix that is estimated on the basis of correlation coefficients that are reported by a number of independent studies. MASEM typically consist of two stages. The method that has been found to perform best in terms of statistical…
Descriptors: Maximum Likelihood Statistics, Meta Analysis, Structural Equation Models, Correlation
