Sentence examples for discriminatory weights from inspiring English sources

The higher discriminatory weights of hyperactive symptoms compared to inattentive symptoms in a binary logistic regression indicate that only few and predominantly hyperactive symptoms were needed to discriminate between probands and controls.

Secondly, in order to show the different roles of different components of an index, the definition of discriminatory weight is introduced, and then an algorithm which is a generalization of the weighted average model is proposed based on discriminatory weight to realize the transformation from the scales of the underlying indices to the scales of the target.

The results also indicated that the tracer discriminatory weighting should be excluded as it tends to bias contribution estimates.

The objectives of this work are to (1) verify whether an optimum composite fingerprint exists, (2) present a new direction of using multiple composite fingerprints to improve the accuracy and reliability of source contribution estimation, and (3) evaluate the optimization model formulation and the validity of the tracer discriminatory weighting.

The results of ROC analysis suggested that the discriminatory ability of weight-normalized QUS parameters for menopause was stronger than that of traditional QUS parameters.

In our model, the classification of sequences is performed by using a combined sequence similarity score (CSSS) that is calculated based on the weighted contribution of similarity scores, where weights reflect the discriminatory ability of individual measures in the training set.

But once, someone did make a weight-related discriminatory comment to me, and I have never forgotten it.

Similarly, Sauter and coworkers [ 56] used the SELDI technique to perform a proteomic analysis over the 5 40 kDa range and identified five differentially expressed protein peaks in NAF from 20 women with breast cancer and 13 women with healthy breasts, the two most discriminatory of which had molecular weights of 6500 Da and 15 940 Da.

In order to deal with the blind identification problem of multiple dominant, a discriminatory clustering algorithm, K-weighted hyperline clustering (K-WHLC), is developed via weighting scheme.

A sensitivity analysis identified multiparity and fetal weight as additional discriminatory variables.

Using a retrospective cohort analysis of 459 breast cancer patients, we were able to construct a primarily SNP-based predictive model with high discriminatory power for post-diagnosis weight gain.