Sentence examples for large interaction effect from inspiring English sources

However, if a large interaction effect is found, then this indicates a non-constant risk relation.

Therefore 112 students would be required to detect the main effects and large interaction effect of branching and feedback on self-reported scores.

The examples below illustrate the effectiveness of GLMseq for setting aside secondary batch effects: In example A (Contig_18664), the raw counts for Batch-1 (4, 4) and Batch-2 (75359, 22) clearly suggest a large interaction effect (Additional file 16).

Unlike football -- where very large interaction effects make individual player analysis difficult -- we can actually look at the numbers in basketball to see which specific players are responsible for the team's success (and/or failure).

This unusual finding can be attributed to large interaction effects among multiple model parameters on the model output (i.e. binary interactions terms such as Dij,andd tertiary interaction terms such as Dijk).

Unlike a univariate one-by-one screening method, which may miss SNPs with small main effects but large interaction effects, ranking in random forests takes into account each SNP's interaction with others.

This has the advantage of giving all variables a chance to predict the outcome, and variables with small marginal effects but large interaction effects would end up as relatively influential.

Main outcome measures Presence of large interaction effects between case mix variable and hospital in a logistic regression model indicating non-constant risk relations, and plausible mechanisms that could give rise to these effects.

For two prominent case mix variables the Charlson index of comorbidity and emergency admission we did detective work to seek explanations for the presence of large interaction effects, as described below.

We first tested for the presence of large interaction effects and then, in respect of two key case mix variables (comorbidity index and emergency admission), we did detective work to seek likely explanations.

This two stage approach is similar in spirit to that suggested by both Hoh et al. [ 26] and Marchini et al. [ 25] in which a liberal alpha is set for testing interactions in stage one in order to find SNPs with small marginal effects but large interaction effects.