Sentence examples for between study heterogeneity is from inspiring English sources

We illustrate how new RCTs can have very low power to change inferences of an existing meta-analysis, particularly when between study heterogeneity is taken into consideration.

Of interest, the two loci with highest-between study heterogeneity were not unanimously proposed as "conformed" susceptibility loci by all 3 GWA investigations.

Between study heterogeneity was high to moderate (I = 83%, 65%and56%6% respectively).

Between study heterogeneity was evaluated using the Q and I statistics [ 53].

Between study heterogeneity was high to negligible (I = 66%, 0% and 0% respectively).

The between study heterogeneity was assessed using the Cochran's Q statistic 13 and the I statistic.

Estimation of between-study heterogeneity is problematic in small meta-analyses.

Between-study heterogeneity is also very large (77%).

Between-study heterogeneity is important to document and may point to interesting leads.

Between-study heterogeneity is useful to document in the synthesis of data from GWA investigations and can offer valuable insights for further clarification of gene-disease associations.

In general, when between-study heterogeneity is demonstrated or cannot be excluded, random effects models have been accepted as the default across different applications of meta-analysis and this should be accepted also for GWA investigations [1], [2], [5].