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The first model included main effects only (notification type, survey length, age, gender, and race).
The final model included main effects of bST and month of insemination.
The model included main effects for treatment group and recruitment method and an interaction between these two to test for effect modification.
Our model included main effects for all variables, including BDNF and 5-HTTLPR, together with two-way interactions between BDNF and cortisol and between 5-HTTLPR and cortisol.
The model included main effects for prime, hunger, cognitive load and dietary restraint, and interaction terms between prime and hunger (Hypothesis 1) and prime and cognitive load (Hypothesis 2), as well as prime and restraint.
The model included main effects for the prime, hunger, restraint and cognitive load, and interaction terms between prime and hunger (Hypothesis 1), and prime and cognitive load (Hypothesis 2), as well as prime and restraint.
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Therefore each pair-wise model includes main effects from two loci (in addition to the interaction) that would be repeatedly included in the sum.
Applying a whole genome prediction model including main effects and epistatic interactions allowed predicting flowering time with an unmatched accuracy of 77% of cross-validated pG.
Fruit choice was analyzed using a logistic regression model including main effects for the prime, hunger and health goal rating, and all interaction terms up to the three-way interaction prime and hunger healthy goal rating.
Models included main effects of treatment and the potential moderator, as well as the interaction between them.
Models included main effects for group (intervention vs control), time (3, 9, 18 and 24 months) and a group × time interaction to assess group differences using all the data collection waves over time.
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