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To estimate maximum learning scores, linear regression models with quadratic terms were fit on learning score.
Similarly, autoregressive models (2 and 3, but without WNNID terms) were fit only to pre-emergence counts.
Thus, to evaluate for parabolic relationships, multivariate linear regression models with quadratic terms were fit on the dependent variable learning score.
As both host studies were randomised controlled trials interaction terms were fit into a regression model to test for any respective trial effects on the outcome variables.
Interaction terms were fit for household income by insurance to assess whether the relationship between visiting and insurance was modified by income.
Interaction terms were fit to Cox proportional hazards models evaluating the association between PCT and death, and GOS 1 3 by presence of infections during SE and different types of seizures at SE onset, to evaluate effect modification.
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The model terms were fitted according to the hierarchical design of the experiment, considering families as nested within breeding generations, which in turn were nested within populations.
In the mixed-effects model, line and block and their interactions with other terms were fitted as random effects.
Model terms were fitted in the following sequence: firstly, block was entered to account for variance caused by the gradient of edaphic conditions in the field site and effects of the block-wise organized management (weeding, mowing) and sample collection.
Error terms were fitted to all variables, except age.
For all covariates, both linear and quadratic terms were fitted.
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CEO of Professional Science Editing for Scientists @ prosciediting.com