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Once QTL were identified using empirical LOD thresholds, effects of QTL were estimated by a multivariate multiple regression model with population structure.
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I think it is fair to say that the case for increasing returns or threshold effects is not well established either theoretically or empirically.No threshold effects, eh?
Threshold effects are also considered in the model.
To support management and monitoring schemes we identified variable threshold effects based on partial dependence plots.
The results were mixed, and revealed threshold effects on some structural indicators.
These models take into account potential threshold effects and the correlation between sensitivity and specificity.
More details about the comb's shape and the threshold effects are given below.
Therefore, percolation threshold effects easily take place as shown in Figure 7.
We address the issue of threshold effects on overall performance of models.
Section 4.3 presents the threshold effects of symmetric and asymmetric comb shapes of the CQM algorithm.
"Threshold effects?" I asked.
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