Sentence examples for groupings of variable from inspiring English sources

Two natural groupings of variable coclustering probabilities existed, separated by a prominent gap near 70%.

For both models, we performed nondimensionalization to identify possible groupings of variables into classes corresponding to they timescales on which they evolve.

† In bold: attributes with the top 5 importance ratings * P < 0.05 ** P < 0.01 *** P < 0.001 Note: results adjusted for sex, age, and profession The factor analysis demonstrated that groupings of variables are largely consistent with earlier results on worker satisfaction, but did not correspond exactly to the indices on which the instrument was based.

CA is often coupled to FA and PCA to provide groupings of individual variables according to distances or similarity indices (Facchinelli et al. 2001; Granero and Domingo 2002; Manta et al. 2002; Wang et al. 2005; Han et al. 2006).

We used latent cluster analysis to identify groupings of clinical variables in an objective and unbiased way to improve phenotyping for clinical and research purposes.

We used principal components analysis (PCA) to identify groupings of these variables.

FYFS initiated the thoughts on Syndromic Surveillance for detecting emerging infectious diseases in 2003 and contributed to syndrome groupings, selection of variables for ED-SSS, and system improvement based on clinical data analysis.

Additionally, even if MCA is mainly used as an exploratory technique, it can be a powerful tool because it may show groupings of categories of variables in the dimensional spaces, providing important insights on relationships between categories or, in other words, multivariate treatment of the data through simultaneous consideration of multiple categorical variables [ 34].

For groupings of clearly associated variables (vaccine efficacy, hepatitis incidence, and utility decrements), correlation between variables was allowed when parameters were drawn for individual runs.

Seven groupings of potential associated variables from baseline were sequentially added to build progressively larger regression models.

Each of the individual models and iterations of the groupings of the compositional variables was evaluated by this permutation of the Y-matrix.