Sentence examples for predictors in the first from inspiring English sources

9, 10 Furthermore, receiving home nursing and home help also emerged as predictors in the first and the second regression analysis, respectively.

However, it is of note that previous traumata or previous psychological disorders were not among the statistically significant predictors in the first step of the regression analysis.

Therefore, scores of the BDI, HAMD, BAI, MWT-B, PSS and LTE-Q, as well as age were entered as predictors in the first step of the regression model to regress out their possible influence on attentional biases.

Note: Age, sex, years of education, and duration of pain were tested as predictors in the first entry block in each equation and retained when significant (p<.05 to enter, p>.10 to remove).

Age, higher educational levels attained, greater weekday sun exposure in warmer months and lower use of sunscreen reported by participants to allow them to stay in the sun longer were found to be independent predictors in the first model, which excluded MC1R.

From the psychosocial variables, both POMS (lower) vigor-activity and (higher) fatigue-inertia, remained significant predictors in the third multivariate analysis.

Age, male sex, MC1R variants and BMI were found to be independent predictors in the second model where only smoking was excluded.

Both SNAP and Augustus were used as gene predictors in the fourth run of MAKER to produce a final set of gene annotations, which included 6,718 genes encoding 6,771 transcripts.

We followed a two-step regression approach: In the first step, we used the SIMP-G as predictors (i.e., five predictors), in the second step we added the additional Big Five measure to determine the incremental variance explained by the additional instrument (i.e., a total of 10 predictors).

Male sex, higher educational levels attained, MC1R and sunscreen used to stay in the sun longer were found to be independent predictors in the second model which included all the significant predictors found in Table 3. Age and weekday exposure in warmer months were no longer significant at the 5% level and again this may be due to the reduced numbers.

Baseline weekly cannabis use (P < 0.001) was a significant predictor in the first step (compulsive craving was marginally significant, P = 0.053).