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Information Journal Paper

Title

METAPLOT: A NOVEL STATA GRAPH FOR ASSESSING HETEROGENEITY AT A GLANCE

Pages

  102-104

Abstract

 Background: 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.Methods: 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' I2 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 "I2 results" lies on y axe. Results: 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 I2 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.Conclusion: 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. 

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    APA: Copy

    POURALAJAL, J., MAHMOUDI, M., MAJDZADEH, R., & FOTOUHI, A.. (2010). METAPLOT: A NOVEL STATA GRAPH FOR ASSESSING HETEROGENEITY AT A GLANCE. IRANIAN JOURNAL OF PUBLIC HEALTH, 39(2), 102-104. SID. https://sid.ir/paper/272715/en

    Vancouver: Copy

    POURALAJAL J., MAHMOUDI M., MAJDZADEH R., FOTOUHI A.. METAPLOT: A NOVEL STATA GRAPH FOR ASSESSING HETEROGENEITY AT A GLANCE. IRANIAN JOURNAL OF PUBLIC HEALTH[Internet]. 2010;39(2):102-104. Available from: https://sid.ir/paper/272715/en

    IEEE: Copy

    J. POURALAJAL, M. MAHMOUDI, R. MAJDZADEH, and A. FOTOUHI, “METAPLOT: A NOVEL STATA GRAPH FOR ASSESSING HETEROGENEITY AT A GLANCE,” IRANIAN JOURNAL OF PUBLIC HEALTH, vol. 39, no. 2, pp. 102–104, 2010, [Online]. Available: https://sid.ir/paper/272715/en

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