Sentence examples for using the regression weights from inspiring English sources

All these measures were adjusted for baseline ICV using the regression weights derived from the healthy control (HC) participants.

Using the regression weights derived from the HC participants, amyloid and SNP measures were preadjusted for removing the effects of the baseline age, gender, education and handedness.

All these measures were adjusted for the baseline age, gender, education, handedness and baseline ICV using the regression weights derived from the healthy control participants.

Instead of using the regression weights derived from MEG data averaged over participants (those used for model fit and classification), for source localization, we calculated the regression weights for each participant separately, that were then used as the inputs to the source localization procedure.

19 We also applied other weighting strategies, such as using the regression coefficients as weights or identical weights to our data.

For a given case, nature (1) sets the value of each predictor, (2) combines them in a linear fashion using the regression coefficients as weights, (3) adds the value of the intercept, and (4) adds a random disturbance from a normal distribution with a mean of zero and a given variance.

The values were very similar to the weights derived using the regression-based method used in previous years.

The second stage used the regression predictions of birth weight from the first stage as independent variables predicting cardiovascular disease risk factors.

Then, the regression weights obtained for the genes are used to regroup the experimental conditions into a new set of clusters, and the new clustering results are used to generate new regression weights for the genes.

The regression weights were tested at the group level against.5 (reflecting chance-level predictive value of the binarized regression weights) using one-sample Mann–Whitney U (also known as the Wilcoxon rank sum) nonparametric t tests, which were considered significant if they exceeded a Bonferroni-corrected threshold of p <.0167 (i.e.,.05 divided by the three time windows tested).

The risk score of each miRNA was calculated using the weights by the regression coefficient that was derived from the univariate logistic regression analysis of candidate miRNA.