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These studies support the conclusion that imputation can still be accurate even when there is mild heterogeneity between test samples and reference data.
The SMDs were statistically significant, but there was mild heterogeneity between Avoidance estimates.
For example, a 10-fold increase of urinary albumin-creatinine ratio was associated with an 18% higher cardiovascular risk among women (average relative hazard ratio of women v men 1.18 (1.02 to 1.36)), with mild heterogeneity between cohorts (I=32.3%).
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I 2 of less than 30% of the variability in point estimate was considered as mild heterogeneity, more than 50% was notable heterogeneity, whereas in between was considered as moderate heterogeneity.
As the following table shows, though, our cases exhibit only mild heterogeneity on relatedness and the two types of synergy.
For recurrent acute venous thromboembolism, there was no evidence of difference between any of the drugs and vitamin K antagonists, with evidence of no to mild heterogeneity (I=0-17%).
Three of the nine meta-analysis calculations showed mild heterogeneity.
The results of heterogeneity test suggested that most pooled effects had mild heterogeneity.
There was evidence of no to mild heterogeneity this analysis (I=0-20%).
Third, mild heterogeneity was found in three correlations in the meta-analysis.
There was evidence of mild heterogeneity across the studies (I = 29%) although additional sensitivity analysis showed no heterogeneity (I = 0) after two studies were excluded [ 16, 26].
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