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The χ-squared test was used to check for heterogeneity between the studies.
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To check for possible heterogeneity between age and ZIP codes, the Breslow-Day test of homogeneity was used.
To check for heterogeneity, Q statistics and Higgin's I value was used.
Before conducting the analysis of individual patient data, we carried out an aggregated meta-analysis of the individual trials to check for heterogeneity (fig 2).
All logistic regression models were tested with Hosmer Lemeshow Goodness of Fit to check for heterogeneity, a satisfactory fit being indicated by a non-significant result (p ≥ 0.05).
To check for heterogeneity, Ki67 expression was also analysed on full-face sections from 26 cases representing tumours with varying thickness.
For each SNP, we used Cochran's Q statistic to test for heterogeneity between studies.
A meta-analysis approach was chosen to enhance sample size whilst allowing for heterogeneity between studies.
The test for heterogeneity between tumor subtypes was statistically significant with respect to BMI at age 20, even after adjustment for trouser/skirt size (P-heterogeneity = 0.01).
Test for heterogeneity between groups.
† Chi square test for heterogeneity between countries.
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