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Logistic regression was used to estimate associations between stressful life events and both MD and AD; sex-specific effects of stress on MD and AD were evaluated by testing interaction terms between sex and stressors in the prediction of both outcomes.
We directly examined potential effect modification of the relation of temperature and mortality by testing interaction terms with day of year and month.
In addition, we examined whether test uptake differed on the basis of age, sex, and prior CRC screening by testing interaction terms with group assignment (1-FIT or 2-FIT group).
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The level and time course of REE were compared between subgroups defined by clinical characteristics and treatment assignment by adding and testing interaction terms in the regression model.
We found that the average exposure effect was different across the 4 tests in a model fit with an exposure-by-test interaction term.
Effect modification between factors was searched for by testing appropriate interaction terms for statistical significance.
We assessed the proportional hazards assumption by testing the interaction terms of the factors listed in Table 2 with time.
In addition to examining statistical significance and confounding, the effect modification between variables was evaluated by testing appropriate interaction terms for statistical significance.
Effect modification between MDR Acinetobacter reference groups and APACHE and Charlson index variables was evaluated by testing appropriate interaction terms for statistical significance.
We checked the proportional hazards assumption by the Kolmogorov-type supremum test, as implemented in the PROC PHREG procedure of the SAS package, and by testing the interaction terms between follow-up duration and the internal dose of cadmium.
Whether there were changes in the differentials of indicators by wealth terciles between the survey periods were determined by testing the interaction terms between survey periods and wealth tercile indicator variables using a logit model.
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