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The Galaxy Plot: A New Visualization Tool for Bivariate Meta-Analysis Studies.

Authors :
Chuan Hong
Rui Duan
Lingzhen Zeng
Hubbard, Rebecca A.
Lumley, Thomas
Riley, Richard D.
Haitao Chu
Kimmel, Stephen E.
Yong Chen
Source :
American Journal of Epidemiology. Aug2020, Vol. 189 Issue 8, p861-869. 9p. 1 Color Photograph, 4 Graphs.
Publication Year :
2020

Abstract

Funnel plots have been widely used to detect small-study effects in the results of univariate meta-analyses. However, there is no existing visualization tool that is the counterpart of the funnel plot in the multivariate setting. We propose a new visualization method, the galaxy plot, which can simultaneously present the effect sizes of bivariate outcomes and their standard errors in a 2-dimensional space. We illustrate the use of the galaxy plot with 2 case studies, including a meta-analysis of hypertension trials with studies from 1979–1991 (Hypertension. 2005;45(5):907–913) and a meta-analysis of structured telephone support or noninvasive telemonitoring with studies from 1966–2015 (Heart. 2017;103(4):255–257). The galaxy plot is an intuitive visualization tool that can aid in interpreting results of multivariate meta-analysis. It preserves all of the information presented by separate funnel plots for each outcome while elucidating more complex features that may only be revealed by examining the joint distribution of the bivariate outcomes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00029262
Volume :
189
Issue :
8
Database :
Academic Search Index
Journal :
American Journal of Epidemiology
Publication Type :
Academic Journal
Accession number :
175141669
Full Text :
https://doi.org/10.1093/aje/kwz286