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2.8.2. Heterogeneity analysis

ML Min Liu
ML Meinian Liu
HZ Haitao Zhang
GP Guanrong Peng
XS Xiaobo Sun
XZ Xingyang Zhu
YZ Yirong Zeng
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Statistical heterogeneity between included studies will be assessed strictly according to the criteria (P > .1 and I2 < 50%) and displayed as a forest plot. When P > .1 and I2 < 50%, lower heterogeneity was analyzed using a fixed-effects model; when P < .1 and I2 > 50%, higher heterogeneity was analyzed using a random-effects model. When the included studies’ heterogeneity is significant, we will choose subgroup analysis or sensitivity analysis to search for possible sources clinically and methodologically.

Copyright and License information:  ©2021 the Author(s). Published by Wolters Kluwer Health, Inc.
This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0

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