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Rott, Kollin W.; Lin, Lifeng; Hodges, James S.; Siegel, Lianne; Shi, Amy; Chen, Yong; Chu, Haitao – Research Synthesis Methods, 2021
Meta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments simultaneously in a systematic review of multiple clinical trials. Although the practical utility of meta-analysis is apparent, it is not always straightforward to implement, especially for…
Descriptors: Bayesian Statistics, Meta Analysis, Computation, Networks
Shi, Linyu; Chu, Haitao; Lin, Lifeng – Research Synthesis Methods, 2020
Publication bias threatens meta-analysis validity. It is often assessed via the funnel plot; an asymmetric plot implies small-study effects, and publication bias is one cause of the asymmetry. Egger's regression test is a widely used tool to quantitatively assess such asymmetry. It examines the association between the observed effect sizes and…
Descriptors: Bayesian Statistics, Meta Analysis, Effect Size, Publications
Lin, Lifeng; Chu, Haitao – Research Synthesis Methods, 2018
In medical sciences, a disease condition is typically associated with multiple risk and protective factors. Although many studies report results of multiple factors, nearly all meta-analyses separately synthesize the association between each factor and the disease condition of interest. The collected studies usually report different subsets of…
Descriptors: Bayesian Statistics, Multivariate Analysis, Meta Analysis, Correlation

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