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Acute kidney injury and infection were similarly assessed using multivariable linear and logistic regression.
We tested whether clinical characteristics of JIA were associated with pain intensity, physical function, and health status using multivariable linear and ordinal logistic regression.During the study period, 2571 subjects with JIA enrolled in the CARRA Registry.
We determined associations using multivariable linear and logistic regression models.
Results were analysed using multivariable linear and logistic regression techniques, controlling for herd group as a random effect.
Using multivariable linear and logistic regression, we also examined associations between race/ethnicity and glycaemic control in the overall population, and within treatment regimens, adjusting for age, gender, income, education, health insurance, health literacy, disease duration, diet and physical activity.
We evaluated differences in time-activity patterns, occupational activity, and housing characteristics between rural and urban populations using multivariable linear and logistic regression models adjusted for design as well as demographic and socioeconomic covariates.
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We used multivariable linear and logistic regression models to identify the independent predictors of leukocyte telomere trajectory.
We used multivariable linear and logistic regression to evaluate the association of HIV with GTT parameters.
Associations between maternal genetic variants and both child cognition and LC-PUFA levels and ratios in colostrum were assessed using multivariable linear models and evaluated using likelihood ratio tests.
Continuous outcomes will be modelled using multivariable linear regression and dichotomous outcomes will be modelled using multivariable logistic and log-linear regression methods.
This will be implemented using multivariable linear regression, and will include in the model baseline number of visits and day of the week that tweeting activity started.
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