Sentence examples for primary predictor and from inspiring English sources

An analysis of variance (ANOVA) was used to characterize the relationship between the primary predictor and outcome.

For these analyses the primary predictor, and thus primary stressor, of interest was having received a cancer diagnosis from a doctor.

We used univariate and multivariate ordinal logistic regression with predialysis blood pressure categories as the primary predictor and predialysis SBP of 110-129 mmHg as the reference category.

In all models, we included diabetes status as the primary predictor and adjusted for demographics (age, sex, black race, and Hispanic ethnicity), clinical characteristics (current smoking, BMI, and systolic blood pressure), clinical center, and laboratory values (eGFR and serum albumin).

General linear models of MDI supported this relationship when home visits dose was entered as a primary predictor and site, resuscitation status at birth, and 12-month MDI were entered as covariates (Table  2).

Since groups significantly differed at baseline on both measures, a mixed-effect model was also fit, with change as the response, and eye (treated or control) as the primary predictor and baseline measure as a covariate.

To evaluate this quantitatively, we created a model that included these primary predictors and an interaction term representing an interaction between the predictor and age as a continuous variable.

Clustering at the site level using mixed models was not found to alter the strength or direction of significant associations between primary predictors and outcomes in the results, and therefore the models include district as a covariate among the other socio-demographic and sex-work practice variables.

All analyses were carried out on complete cases, including primary predictor variable and covariate data.

We computed the median with IQR for the primary predictor variable and categorized patients according to quartile of baseline NLR at ICU admission, with the first quartile treated as the reference group for all subsequent analyses.

Models were constructed by forcing in age at onset as the primary predictor variable, and including additional variables if they had a meaningful effect on the odds ratio of age at onset (10% or more change in OR) or if the variable itself was a significant predictor of general health status.