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These methods yield confidence intervals of parameter estimates and goodness-of-fit indices quantifying how well the model accounts for the empirical variances and covariances and enabling the testing of hypotheses regarding the causes of variation within groups and their heterogeneity between groups.
Test for heterogeneity between groups.
Frailty models aim to account for such unobserved heterogeneity between groups.
We used the Q Cochran test to look for heterogeneity between groups, with heterogeneity tests set at 0.1.
Heterogeneity between groups was tested by adding an interaction term in a separate regression analysis to test the interaction between the SNP and the trait.
Heterogeneity between groups is not substantially greater than that within groups for progression-free (F1,4=0.42, P=0.55) or overall survival (F1,4=1.21, P=0.33).
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To test sub-analysis differences (large vs all adenomas; best approach vs all studies), we partitioned 'total heterogeneity' into between-group and within-group heterogeneity, and used the 'between-group' heterogeneity index as the test statistic against χ distribution with 1 degree of freedom.
A mixed models method was used for testing between the groups, allowing heterogeneity between the groups.
All analyses of the pooled cohort were stratified on the study groups and heterogeneity between study groups was sought.
We examined Hispanics separately from non-Hispanics where there was significant heterogeneity in between-group effects of individual SNPs.
We examined Hispanics separately from non-Hispanics where there was significant heterogeneity in between-group effects of individual htSNPs in each gene.
More suggestions(13)
inequity between groups
range between groups
variation between groups
variability between groups
divergence between groups
discrepancy between groups
disparity between groups
uniformity between groups
heterogeneous between groups
differential between groups
heterogeneity between population
heterogeneity between series
inequality between groups
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