Sentence examples for main effects tests from inspiring English sources

When the statistical interaction between animal strain and treatment group was not statistically significant (P>0.05) nor suggestive of an important interaction (P>0.10) p values for the main effects tests were reported.

The critical values for significance were set a priori at α =.05 for main effects tests and.10 for interactions tests [ 40].

Post hoc simple main effects tests were conducted where appropriate and whether individual groups discriminated between the objects was assessed using a within-subject t-test (2-tailed).

Simple main effects tests then indicated that the time spent in the correct corner was significantly greater than the mean time spent in the remaining three corners for the sham group, F 1, 17) = 18.96, P < 0.001, MSE = 64.74, but not the hippocampal group, F < 1.

In Table 5 we present P values, unadjusted and adjusted for multiple comparisons, for the main effects tested, beginning with single-locus associations.

The figures depict the main effects tested by the linear models, with each variable (continuous vs rest-inserted loading, 100 vs 1000 repetitions) depicted in a separate figure.

After checking overall data consistency (graph plot) and distribution type (Kolmogorov-Smirnov normality test) of ICT with the UNIVARIATE procedure, values were submitted to analysis of variance with the PROC GLM statement for main effects testing.

P-values were obtained using the "Anova" function of the "car" package [ 32] with type II sums of squares (main effects tested without removing variation attributed to interaction terms).

Given that many previous candidate gene studies, and even many GWASs, were powered to detect only main effects, testing these samples for gene-gene and gene-environment interactions has the potential for false positive and false negative results [ 2, 3].

Empirical results show that the presence of epistasis can increase power to detect the underlying loci compared to the non-epistatic additive case, in two-marker full model tests as well as in single-marker main effect tests.

In case of significant interactions, simple main effect tests were performed; that is, the effects of one factor holding the level of the other factors fixed.