Sentence examples for necessary predictor from inspiring English sources

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Exact(2)

Therefore, {mathcal{M}}_{c} = left{ {M_{alpha } :{text{all}};{text{the}};{text{necessary}};{text{predictors}};{text{are}};{text{present}}} right},;{text{i}}.{text{e}}.;{mathcal{M}}_{c} = left{ {M_{alpha } : alpha_{N} subseteq alpha } right}Similarly, if the model M α doesn't contain at least one necessary predictor then it is a wrong model.

The difference between micro- and macroevolution is much like the difference between how your town votes in an election and how the whole country votes: there are lots of agendas in different regions that don't play out on every local stage, and how your town votes is not a necessary predictor of how the nation votes.

Similar(58)

Suppose α N denotes all necessary predictors.

If the model M α contains all the necessary predictors then it is a correct model.

The model M α is called the optimal model if it contains only all the necessary predictors.

The main lesson learnt from this example is that there are cases in which targeted inhibition of tyrosine kinases is effective in only a small subgroup of patients, and kinase mutations represent the necessary predictors for patient stratification.

Moreover, the word symbiont is used advisedly: among their many roles, gut microbes are critical in extracting nutrition for their hosts from the varied mammalian diets, with both diet and host phylogeny being necessary predictors for understanding gut microbe diversity.

Accordingly, further methodological standardization is necessary before predictors for the prognosis of sciatica can be validated across studies.

Our research has shown that short-term plant composition monitoring is a necessary but insufficient predictor of long-term restoration success.

However, the ApoE ε4 allele is neither a necessary nor sufficient predictor of the disease, and the association between ApoE ε4 allele and AD has been shown to vary by race and ethnicity [ 7].

To implement preventive measures, it is necessary to identify predictors for this type of sickness absence.

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