Sentence examples for regression pattern from inspiring English sources

The DF1 regression pattern was not affected (P > 0.05) by the phase of follicle wave at the start of the treatment or any interactions among main effects.

rCBF was significantly correlated to reduction in CPP during the initial 15 min after SAH in a linear regression pattern (r2 = 0.68, p < 0.001).

To determine the effect of indocyanine green (ICG) injection on the regression pattern of choroidal melanomas treated with transpupillary thermotherapy (TTT).

The purpose of Experiment 1 was to evaluate the effect of EB and progestagen treatment starting at different phases of dominant follicle (DF1) development on regression pattern and subsequent follicle wave emergence (WE2) in lactating and non-lactating llamas.

The mean relative rCBF depletion of both hemispheres was significantly correlated to reduction in CPP during the initial 15 min after SAH in a linear regression pattern (reg coeff r = 0.82, r2 = 0.68, p < 0.001).

The SVMs are powerful tools for solving problems of classification, regression, pattern recognition, density estimation [23], with the supervisor's output as a function of a linear combination of kernel functions centred on a subset of the training data, consisted of the so called support vectors.

When spatial regression patterns between low cloud cover and total solar irradiance are studied, the Pacific Ocean exhibits patterns reminiscent of the Pacific Decadal Oscillation.

Tumor regression patterns were clearly evidenced by histology (Figure 2): whereas controls showed nuclear atypia, anisokaryosis, mitosis, lobular arrangement of the tumor, and metachromasia (Figure 2A,B,C), ZOL-treated animals demonstrated fibrous and inflammatory remodeling patterns of tumor regression (Figure 2D,E).

To build multivariate models to assess correctly and efficiently the contribution of tumor characteristics on the rate of regression of choroidal melanomas after brachytherapy in a way that adjusts for confounding and takes into account variation in tumor regression patterns.

The regression analysis of the estimated N concentrations in mosses and the modelled EMEP depositions, too, resulted in clear linear regression patterns with coefficients of determination of R2 = 0.62 and Pearson correlations of rp = 0.79 and Spearman correlations of rs = 0.70, respectively [12].

The presence of gene-environment interactions could also explain the similar quantile regression patterns found for environmental risk factors of overweight in previous studies [9], [10].