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We calculated the relative risk of abnormalities in the CBCL domains as a function of headache status in the children, after adjusting by a series of main effect models.
The protective effects exhibit stronger statistical significance in the gene-lifecourse interaction models than in the main effect models because the interaction model allows the protective effect to be more important at some ages than others.
Simulations 1 4 represent main effect models.
Four main effect models were used.
Main effect models examined a linear shift in depressive symptoms (main effect models).
The main effect models for NER genotypes are presented in Table 2.
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Results of the main effect model appear in Table 5.
Results from the main effect model are showed in Table 4 (Model I).
The main effect model forces the protective effect to be constant across all ages in adolescence and young adulthood.
Effects are from four-way classification (main effect model).
The main effect model was checked for presence of interactions.
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