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In this predictor, the compositions of evolutionarily conserved amino acid (AA) pairs (23) were used to represent N-terminal secretion signals in T3SEs (17).
The features we included in this predictor were the ones that resulted in the best performance for the L. infantum SVM, i.e. all the non-sequence features and the sequence in PAM30 encoding.
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In Flanders, in 2012, this predictor was significant for having MMR and PCV7 [ 10].
This lack of heterogeneity can be attributed to similarity in the distribution of log CRP across studies and to homogeneity in for this predictor (I = 9%).
Although no explicit observer is actually involved in the implementation, this predictor implicitly includes one since the input-output model subsumes an observer.
In 2012, in Flanders, the influence of this predictor was the same [ 10].
Regardless, including this predictor in the multivariate analysis only strengthened the association of clinical occupation and MsgC1 levels.
As shown in Tables 3 and 4, this predictor was a common predictor in both models.
In this case, predictor variables with approximately equally sized categories tend to be favored over predictor variables with unequally sized categories [ 18, 19].
In this paper, predictors of consultant behaviour were explored.
In this case, predictors are classification variables with more than two categories, therefore dummy coding is required to include them in the regression equation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com