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In the GEE models, an interaction effect was identified with age.
In these models, an interaction term for diabetes and year of discharge was tested and included if P < 0.05.
Finally, for both cross-sectional and longitudinal models, an interaction term was added to the adjusted models to test for potential effect modification by HLA risk group, although it was not retained because it was not significant in all models.
This hypothesis was examined by adding to models an interaction term for the product of the biomarker variable (log-continuous or ordinal quintile values) times BMI dichotomized at the median of the age-specific percentiles in our study population (low BMI/high BMI).
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However, these operators are not able to model an interaction between criteria.
This is not the optimal way of modeling an interaction's start and end point.
In the trend analyses, we additionally modeled an interaction term between trend and individual hospitals.
In this model an interaction between expectations of recovery and posttraumatic stress was found.
We modelled an interaction between health care provider type and therapy type to evaluate our findings.
We evaluated our time stratified variables by modelling an interaction between health care provider type and therapy type (Table 3).
We then added to the previous model an interaction term between maternal age and this new variable (before/after).
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