Sentence examples for models predictors of from inspiring English sources

In logistic regression models, predictors of ED analgesic administration were male physician (odds ratio [OR] = 0.7), arrival pain (OR = 1.3), number of pain assessments (OR = 1.83), and charted follow-up plans (OR = 2.16).

In logistic regression models, predictors of opioids administration included male patient gender (OR = 0.58), male patient-physician interaction (OR = 2.58), arrival pain score (OR = 1.28), average pain score (OR = 1.10), and number of pain assessments (OR = 1.5).

In logistic regression models, predictors of such failure included greater absolute value of spherical power (myopia/hyperopia), higher cylinder power (astigmatism), and not having worn spectacles at presentation.

We used linear mixed-effects models to assess longitudinal variation in fatigue scores and generalized estimating equations for binary outcomes to model predictors of fatigue remission among those fatigued at baseline.

In the multivariable regression model, predictors of graft failure at 1 year were donor age, recipient age, recipient creatinine greater than 2 mg/dL, and the requirement for mechanical ventilation for the recipient.

Logistic regression was used to model predictors of each unintentional non-adherence behavior.

A multivariate analysis of covariance model with backwards elimination was used to model predictors of beliefs about medicine.

The application of theoretical frameworks for modeling predictors of drug risk among male street laborers remains limited.

Finally, we modelled predictors of length of hospital stay for the majority of these terminally ill hospice patients who survived to discharge.

Using a retrospective cohort study design, we modeled predictors of transfusion events within 24 hours of hospital admission and throughout the entire hospitalization.

Those characteristics where there was a statistically significant (p<0.05) or borderline significant difference between people with low and adequate health literacy were entered into the multivariable model; logistic regression was used to model predictors of low health literacy.