Sentence examples for between the main predictors from inspiring English sources

Being a nursing assistant (GNA, CNA or CMA) modified the relation between the main predictors and filing WC claims.

Associations between the main predictors and filing of low back WC claims were assessed with multivariate logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CIs).

After adding the two potential mediators (i.e., smoking during pregnancy and prenatal care visit), the associations between the main predictors and birthweight remained largely the same, suggesting no mediation (model 2, Table  4).

Re-analysing this interaction model with centred variables or with a residualized interaction term would reduce multi-colinearity between the main predictors and the interaction predictor, but would not change the interpretation of the results (Wu and Zumbo, 2008).

To take into account hospital clustering, we used a logistic regression model with a random effect at the hospital level (cluster effect) to assess the independent association between the main predictor (previous exposure to UC) and UTI after adjustment for the main confounders (gender, age, severity scores [McCabe, ASA], length of hospital stay, co-morbidities).

Variables in the first level and variables not presented in the third and fourth level had p-value > 0,2 and were excluded from the final model Table 3 shows the association between the main predictor variables and inappropriate use of the ER in the younger group (15 to 49 years-old).

In future, better-sampled global data sets could be analyzed with a phylogeographic generalized linear model (32) to determine the most important predictors of CC398 spread (e.g., human air travel, livestock movements, and geographical distance between locations) and to examine whether the main predictors differ between the human- and livestock-associated clades.

The second aim was to assess interaction effects between relationship satisfaction and the main predictors.

Simple analyses were then used to assess the association between the outcome variable and the main predictors.

We investigate the main predictors of the intention to use mobile ticketing and the relation between those predictors, considering the prominent literature on users' technology acceptance background and extending the knowledge through an innovative contribution.

Results showed that Extraversion, Agreeableness and Conscientiousness were the main predictors of self-efficacy.