Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness

Meta-analysis has been widely used to synthesize evidence from multiple studies for common hypotheses or parameters of interest. However, it has not yet been fully developed for incorporating heterogeneous studies, which arise often in applications due to different study designs, populations, or out...

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Vydáno v:	Journal of the American Statistical Association Ročník 110; číslo 509; s. 326 - 340
Hlavní autoři:	Liu, Dungang, Liu, Regina Y., Xie, Minge
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Taylor & Francis 01.03.2015 Taylor & Francis Group, LLC Taylor & Francis Ltd
Témata:	Aircraft Analysis Analysis of covariance aviation Clinical research Clinical trials Combining information Complex evidence synthesis Confidence distribution Covariance Data data analysis equations Generalized estimating equations Heterogeneity Hypotheses Indirect evidence Individual differences Individual participant data Inference Maximum likelihood method Meta-analysis Multivariate analysis Parameter estimation Property randomized clinical trials Robustness Statistical inference Statistics Theory and Methods individual participant data multivariate meta-analysis efficiency combining information generalized estimating equations indirect evidence confidence distribution complex evidence synthesis heterogeneous studies
ISSN:	1537-274X, 0162-1459, 1537-274X
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