Sentence examples for initial predictor from inspiring English sources

Recently, Goodman et al. retrospectively studied 51 comatose patients with intracerebral hemorrhage and found that their GCS score was the predominant initial predictor for early awakening [46].

Recently, Goodman et al. retrospectively studied 51 comatose patients with intracerebral hemorrhage and found that their GCS score was the predominant initial predictor for early awakening [ 46].

The purpose of building components in PS is to optimize the covariance among the variable y and the initial predictor variables X: (6) w q = argmax ⁡ (Cov (X w, y ) ), w T w = 1.

In conclusion, the high conservation of protein-protein interactions centered on key regulators of the rice defense response suggests that the existing experimentally generated rice interactome is a useful initial predictor of wheat protein interactions.

The fundamental concept of PCA is to decrease the dimensionality of a given data set, whilst maintaining as plentiful as possible the variation existing in the initial predictor variables.

The DAT concentration in the remaining ROIs was evaluated using a backward elimination general linear model (GLM) regressed on the initial predictor pool: diagnostic group, age, education, putamen DAT, duration of motor symptoms, LED and the interaction of diagnosis with each of the other predictors.

Using L*, a*, b* and soil depth for each sample as initial predictors, regression analyses were conducted to develop SOC prediction models for dry and moist soils.

We introduced M and Pass/non-p as initial predictors.

Additional models of newborn data from mother child pairs included maternal genotoxicity parameters as initial predictors.

Finally, we tested the interaction of erosion SvH score and anti-Sa, the two major initial predictors of severe arthritis on the development of joint damage (Fig. 1).

With these factors taken together, the insertion of the IMR variable into the initial risk models allows the assessment of whether or not there was bias in the initial models, and suggests which initial predictors may have been most associated with this bias.