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To identify best-fitting models, terms were sequentially reduced from the full model and model comparison was achieved with the F statistic.
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The model terms were highly significant thus suggesting the potential commercial utility of the mutant (HS, df = 3 ∼ 0.0182).
Model terms were evaluated by the P value.
Model terms were ASA use and type of surgery, with adjustment for age at surgery.
Model terms were evaluated by the P value (probability) with 95%% confidence level.
Values of 'Prob > F' less than 0.0500 indicated that the model terms were significant and those greater than 0.1000 were not.
Values of P-value less than 0.05 indicated that the model terms were significant (at the 95% level).
P values less than 0.05 for A2, B2, and C2 indicated that the quadratic model terms were significant.
The effects of separate parameters and interactions were analyzed by analysis of variance and the equation and model terms were analyzed by Fisher's test for model significance.
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.
The Type 3 F-tests and p-values of the genotype*treatment and genotype model terms were explored and significance levels for those terms were adjusted for by the False Discovery Rate (FDR) method [65].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com