Sentence examples for main effects present from inspiring English sources
We created dummy variables coding the three genotypes per locus −1,0 and 1 and compared the likelihood of the model including the interaction term between two loci with the likelihood of the model with only the two main effects present.
Thus, it is meaningful to see how these methods fare in detecting main effects and also whether they detect false positive interactions (which may involve either null and/or main effect SNPs) when there are only main effects present.
The Simulated Data Set was selected to contain pure epistasis interactions without main effects present, i.e., it does not contain QT variation that is attributable to any individual locus and requires the combined presence of two loci for explaining the QT variation.
There were, however, two significant main effects, presented below.
There was a significant main effect present (P < 0.01) for Tsk, and from the start of the heat stress application, differences were observed among all the three conditions for each 10% segment (except for the comparison between CONTROL and PRECOOL at 40% time trial completion; P = 0.22).
The results suggested that electronic effect is the main effect presented on Pt(110), Pt 320) and Pt 331) surface upon Sb modification, while geometric effect is considered to the major effect on Pt(100) electrode.
Self-efficacy was entered in Model 1, with the main effect presented as a prevalence odds ratio (POR) with its 95% confidence interval (95% CI).
Significant main effects were present for speed for VT (p<.001), but not ML (p = .03) and AP (p = .07).07
A recent method for searching epistatic spaces with regression, Focused Interaction Testing Framework (FITF) [26], explicitly requires that main effects be present in multilocus models to be detected.
When strong main effects are present in a dataset, MDR or MDR-PDT might find a model, test, and reject the null hypothesis for these loci.
We also provide a valid regression-based permutation test procedure that specifically tests the null hypothesis of no interaction, and does not reject the null when only main effects are present.
