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We provide the first empirical evidence that physicians' decision-making can be explained by the threshold model.
Thus, depending on the clinical circumstances, both under- and over-treatment do occur in current medical practice and can be explained by the threshold model [ 4- 6].
The difference between these two sets was evaluated by the threshold model based on the receiver operating characteristic (ROC) curve, considering the sensitivity (true positive) and specificity (false negative) rates.
The accuracies of GEBV for ordinal categorical phenotypes analyzed by the threshold model were higher than those with a linear model applied to the scores, and the advantage of a threshold model was greatest when training populations were small.
These estimates are similar to those estimates obtained by the threshold model reported by Wiggans et al., [ 24] but slightly higher than those reported in general [ 23, 37, 41].
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By analogy, the threshold model may be extended by random terms.
By using the threshold model to predict the response to one round of selection, and setting this as the standard, the only epidemiological parameters required are the rate at which animals recover and the reproductive rate (R'), alongside the heritability of resistance to the disease (or the parameter under selection).
In this paper, we give an affirmative answer to this problem by providing efficient nonadaptive algorithms for the threshold model.
Plasticity was strongly correlated with greater complexity, as shown by their covariance tested either under the threshold model (Felsenstein, 2012) (r = 0.78, confidence interval 0.57 0.93) or a constant-variance random-walk model (r = 0.45; log Bayes factor = 20).
Calabrese says the report was a defining moment when the threshold model was replaced by the linear model as the standard in risk assessment.
Applying the 56-ppb LCT from the threshold model reduced mortality estimates by approximately 75%.
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