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Nevertheless, the resulting overall group differences can be traced back to the greater original influence of model A over model B. Previous discussions of model preference by non-humans have argued that dominant individuals may be copied by subordinates due to fear of aggression, rather than as a result of freely conferred prestige [25].
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Thus, to model a pixel over the time, Gaussian mixture models are used.
He also brought in Seffner to model a face over a cast of the skull (Fig. 2A, C).
Thus choosing a codon model over a singlet model involves a tradeoff between a substantially improved substitution model and a possibility of incorrect homology in the alignment.
Each of the four tested generalisations of the CoxPH model (A-G, frailty, WLW-TT and PWP-GT models) provided a substantial model improvement over the CoxPH model.
The most important prediction of the model was an over-additive interaction effect in the problem state region.
However, this classification model is an over-simplification since many endometrial cancers are not categorised neatly according to this dichotomy.
What, then, can be gained by having a realistic model over a simplified model?
Choose a firm model over a soft model.
GP regression is a Bayesian non-parametric which models a distribution over an infinite set of random variables.
The superiority of an alternative model over an additive model, obtained using all available data, was tested using a likelihood ratio test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com