Sentence examples for explored using multivariable from inspiring English sources
Risk factors for cognitive impairment were explored using multivariable analyses.
Correlates of the composite score were explored using multivariable linear regression.
The association between parental education, household income, single parenthood, nationality, and parental working status on one hand, and their children's mental health on the other, was explored using multivariable logistic regression models.
The relationships among anglers' fish consumption, Hg doses, and hair Hg concentrations (considered here to be the most accurate indicator of MeHg exposure) were explored using multivariable linear regression.
Associations between the stress measures (at all time points) and offspring vascular outcome measures were explored using multivariable linear regression with the statistical package SPSS version 18.0 (SPSS, Chicago, USA).
Risk factors for infection were explored using multilevel multivariable logistic regression with farm as a random effect.
The effect of treatment group on faecal worm egg count, body weight and body condition score was explored using multilevel multivariable regression models using Markov Chain Monte Carlo (MLwiN v2.02, Rasbach et al, 2000).
In all regression models risk factors were explored using univariable regression analysis and were retained in the multivariable model based on forward selection; hypothesized risk factors were included and confounders were retained based on univariable P<0.2.
Relationships between covariates will be explored using the variance influence factor to ensure that highly correlated variables are not included together in multivariable regression models.
Using multivariable logistic regression, we further explored the association between the number of prereferral consultations (three or more consultations vs one or two) and gender.
Further analyses using multivariable logistic regression will be undertaken to explore the sensitivity of the estimated ORs to covariate imbalance between the groups due to potential confounding factors introduced postrandomisation, such as age of onset of formula feeding.
