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Homogeneity tests of trends neither between ER− and ER+ nor between HER2− vs. HER2+ was statistically significant (both Phomogeneity of trends ≥ 0.19).
Tests of trends in hormones across levels of migration history were obtained by scoring the categories and considering it a continuous variable in standard regression models.
Sample sizes in the various socio-demographic groups varied considerably, affecting the comparability of the Wald F Statistics generated by logistic regression in the tests of trends (shown in Tables 2, 3, 4).
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The Cox proportional hazards regression model was also applied over multivariate analyses, with the associated likelihood ratio test used to assess test-of-trend differences.
Tests of trend were also performed across HbA1c quartiles.
Tests of trend in relative risk across tertiles used the Jonckheere-Terpstra test [ 14].
None of the tests of trend across exposure categories was significant (p > 0.05) (data not shown).
We did tests of trend using continuous dose in defined daily doses for each class.
The gradient depicted highly significant p-values for tests of trend in both sexes (Table 3).
Statistical tests of trend were conducted for rates, and rate differences, and of the log transformed rate ratios.
Ptrend and Phet are P-values for the tests of trend (1 df) and heterogeneity (3 df) respectively between quartiles.
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