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In addition, additive models did not offer increased explanatory power over linear models.
Small advantages of nonlinear over linear models for dairy cattle traits indicate many more QTL than previously assumed in most simulations.
Several studies have explored the advantages of threshold models over linear models for the analysis of calving traits [ 49, 50] given that according to the categorical nature of the traits, threshold models should theoretically be superior, as explained by Gianola [ 51].
The other curves in Figure 1 are all quadratic, because these improved substantially over linear models (WIHS p = 0.0003 for age and p = 0.0054 for calendar year; UHS p = 0.018 for age), but parametric splines with up to 4 parameters did not appear to substantially improve the fits further (all p > 0.22).
This highlights that to derive a benefit from the loss-of-function genome scan approach over linear models the density of genotyping must be high enough that causative SNPs, or SNPs in perfect LD with the causative polymorphism (e.g., tan1-a), are represented in the genotyping data.
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The MFP approach offers several advantages over linear modelling, both in model fit and a better elucidation of risk profiles for individual predictors.
Over all, linear models contradict the nonlinear forecasting error sequence to some extent and have some limitations to characterize the relationship between the lagged variables.
Its advantages over standard (linear) models in terms of statistical properties are widely reported [ 25, 26].
GEE was chosen over generalized linear models because of the non-normally distributed exposure data.
Many interventions and practices are underpinned by over simplistic, linear models educating or supporting women to breastfeed.
On each run of the algorithm, we keep feature combinations that show a significantly improved predictive power over the linear models (likelihood ratio test P-value ).
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