Sentence examples for coefficients of significant from inspiring English sources
Variables identified as confounders in the subset analyses were monitored for their effects on the coefficients of significant variables remaining in the comprehensive model.
We made the model more parsimonious by removing non-significant variables, but only if they did not materially (>10%) alter the regression coefficients of significant associations and if the likelihood ratio test [ 17] indicated a non-significant change in the model's fit (at a two-sided p > 0.05).
K-significant average approach, short-term power constraint T = 1, fading coefficient of significant users μ = 1.
All excluded covariates were evaluated for their potential confounding effect by evaluating if their removal produced a 20% or greater change in the coefficient of significant variables in the model.
Quantitative analysis of co-localization yielded high Mander's correlation coefficients, indicative of significant overlap of the Nedd4 and MTMR4 signal [ r(20)=0.93, with r(n) being Mander's co-localization coefficient for n degrees of freedom, P<0.05].
The displayed results include P-values, the δ j/ δ̄ values for the significant rare variant and the number of total common variants and rare variants along with the coefficients of the significant common/rare variants (with standard error).
Total scores were calculated by summing the coefficients of all significant variables.
A DCS was developed in line with the regression coefficients of the significant variables of multivariate regression analysis.
The temporal expression coefficients of all significant principal components exhibited a peak in the frequency spectrum at about 0.054 Hz, the repetition frequency of the object presentation.
Correlation of the expression coefficients of the significant PCs with the TAS-20, the Beck Depression Inventory, and the SEE scales was conducted using a Pearson two-tailed correlation (SPSS for Windows, Version 12.0.1).
A variable was considered a confounder if it was not an intervening variable, and if its removal resulted in a 20% or greater change in any of the coefficients of statistically significant variables [ 20].
