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Potential interaction (effect modification) between obstructive CAD and diabetes was evaluated by adding a multiplicative interaction term (obstructive CAD × diabetes) to the Cox model.
We tested for effect modification between rapid sequence intubation and sedatives by including their interaction terms in a model with adverse event as the outcome (data not shown).
We observed a significant effect modification between XRCC2 polymorphism and smoking status and pack-year of smoking in modifying pancreatic cancer risk (P value for interaction 0.02 and 0.05, respectively).
In contrast, we observed an intriguingly opposite pattern of effect modification between smoking and BMI.
There was weak evidence of effect modification between the associations of age at menarche and birth cohort with age at sexual debut (p lrtest for interaction 0.2).
Effect modification between sex and baseline CD4 count was found, which could be explained by a lower median baseline CD4 count in men.
Effect modification between variables was evaluated.
Furthermore, we tested for effect modification between independent variables.
Interaction variables were created to assess possible effect modification between age, dress style, diet, and BMI.
Tests for interaction (effect modification) between covariates were performed with the Wald test statistic.
More recent studies have also assessed effect modification between ozone and temperature on mortality.
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