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Showing 1 to 3 of 3 for “"Multivariate Meta-Analysis"”.
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Statistical methods for multivariate meta-analysis
… of the drawbacks of using separate univariate meta-analyses to solve a clearly multivariate problem. This has led to increased attention to multivariate meta-analysis, which is a generalization of standard univariate meta-analysis to synthesize evidence on multiple outcomes or treatments. …
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Bicluster-Based Identification of Gene Sets Through Multivariate Meta-Analysis (MVMA)
… of biclustering algorithms have been applied to analysis of gene expression data. Condition-dependent Correlation Subgroups (CCS), as one of these algorithms, is chosen for the current study. Identifying individual biclusters using CCS is the task of Aim 1. Most public expression datasets have …
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Evaluation of the Effect of the Clinical-Decision-Support Systems on Diabetes Management: A Multivariate Meta-Analysis Comparison with Univariate Meta-Analysis
<p>The advantage of using meta-analysis lies in its ability in providing a quantitative summary of the findings from multiple studies. The aim of this dissertation was first to conduct a simulation study in order to understand what factors (sample size, between-study correlation, and percent of …