Show pageBacklinksCite current pageExport to PDFBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. The [[I2]] statistic is used to assess heterogeneity. In case of I2, we usually define what means high, moderate or low. For example, if you define that I2 > 75% is considered as substantial heterogeneity and I2 of your meta-analysis is more than 75%, that means considerable heterogeneity is present. For instance, if the objective of your meta-analysis is to find out the presence of 'X' in patients compared to controls; in this scenario high heterogeneity means some study results are turning towards patients (some studies observed significant presence of X in patients) and some study results are turning towards controls (some studies observed significant presence of X in controls). kind of high deviation from no effect line. If this study's I2 is low (i.e., 40%), you would see that the results are turning towards a particular group (more studies towards either patients or controls, non-heterogenous). i2.txt Last modified: 2024/06/07 02:58by 127.0.0.1