Author: Michael Zietz; Nicholas P. Tatonetti
Title: Testing the association between blood type and COVID-19 infection, intubation, and death Document date: 2020_4_11
ID: 3xvphg52_27
Snippet: Finally, we found significant heterogeneity among the sites we considered in the meta-analysis. We found that the distribution of blood groups in the general population at NYP/CUIMC differs significantly from both the distributions in Shenzhen (Chi-squared = 2056, p-value < 2.2e-16) and Wuhan (Chi-squared = 583.29, p-value < 2.2e-16) ( Table 3 ) . The difference in distributions is reflected in tests of heterogeneity between sites, where we find .....
Document: Finally, we found significant heterogeneity among the sites we considered in the meta-analysis. We found that the distribution of blood groups in the general population at NYP/CUIMC differs significantly from both the distributions in Shenzhen (Chi-squared = 2056, p-value < 2.2e-16) and Wuhan (Chi-squared = 583.29, p-value < 2.2e-16) ( Table 3 ) . The difference in distributions is reflected in tests of heterogeneity between sites, where we find more heterogeneity between sites in our meta-analysis than Zhao et al.'s meta-analysis (Table 12 ).
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