Sentence examples for multivariate discriminant analysis from inspiring English sources

Exact(29)

Multivariate discriminant analysis demonstrates the ability of the analytic variables to discriminate the vast majority of the melanocytic neoplasms, particularly when two-dimensional variables are included [ 47].

Multivariate discriminant analysis performed on selected trace elements confirms the previous suggestions.

Multivariate discriminant analysis was used to identify craniofacial measurements that best differentiated the 3 groups (FAS, PFAS, and control).

The multivariate statistical methods; multivariate discriminant analysis, k-means cluster analysis and logistic regression analysis are tested.

The 25 compounds were used to compute two multivariate QSAR models and two multivariate discriminant analysis models were computed from both active and inactive compounds.

χ2 test, multivariate discriminant analysis and binary logistic regression were performed for the identification of the significant features and for testing newly created diagnostic models.

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Similar(31)

Hence, a multivariate discriminant function analysis was conducted to determine which parameters discriminate between diabetic patients without microvascular diseases and those suffering from neuropathy, peripheral neuropathy or retinopathy.

Ranks were derived from a multivariate discriminant function analysis based on results from the goodness of fit tests [19].

We then analyzed the partial warps and uniform scores using a multivariate discriminant function analysis (DFA) based on the classification of individuals into the different spawning depths.

The multivariate discriminant function analysis tool (©Statistica 10.0, StatSoft, Germany) was used to determine which variables discriminate between healthy and sick persons for the three important complications: nephropathy, peripheral neuropathy, and retinopathy.

Large-scale brain networks were detected using a multivariate linear discriminant analysis (canonical variates analysis, CVA) that was tuned to fit the data.

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