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- W2108839012 abstract "Heterogeneity is usually a major concern in meta-analysis. Although there are some statistical approaches for assessing variability across studies, here we present a new approach to heterogeneity using MetaPlot that investigate the influence of a single study on the overall heterogeneity.MetaPlot is a two-way (x, y) graph, which can be considered as a complementary graphical approach for testing heterogeneity. This method shows graphically as well as numerically the results of an influence analysis, in which Higgins' I(2) statistic with 95% (Confidence interval) CI are computed omitting one study in each turn and then are plotted against reciprocal of standard error (1/SE) or precision. In this graph, 1/SE lies on x axis and I(2) results lies on y axe.Having a first glance at MetaPlot, one can predict to what extent omission of a single study may influence the overall heterogeneity. The precision on x-axis enables us to distinguish the size of each trial. The graph describes I(2) statistic with 95% CI graphically as well as numerically in one view for prompt comparison. It is possible to implement MetaPlot for meta-analysis of different types of outcome data and summary measures.This method presents a simple graphical approach to identify an outlier and its effect on overall heterogeneity at a glance. We wish to suggest MetaPlot to Stata experts to prepare its module for the software." @default.
- W2108839012 created "2016-06-24" @default.
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- W2108839012 date "2010-01-01" @default.
- W2108839012 modified "2023-09-23" @default.
- W2108839012 title "Metaplot: a novel stata graph for assessing heterogeneity at a glance." @default.
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