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Step-wise descending multivariable linear and logistic regression were performed.
Multivariable linear and negative binomial regression models identified associations between parent and child dietary intake adjusting for relevant covariates.
We used multivariable linear and logistic regression models to identify the independent predictors of leukocyte telomere trajectory.
Finally, multivariable linear and logistic regression analysis was conducted to calculate mean differences and odds ratios for the effect of BCG vaccination on the vitamin D concentration, controlled for other infant characteristics.
Analyses utilized multivariable linear and logistic regression.
We determined associations using multivariable linear and logistic regression models.
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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.
Multivariable linear regression and direct standardisation were used to compare bone sarcoma survivors and the OHLS population.
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.
Based on the results of the multivariable linear regression and the partial correlation coefficients, there was no association between percent CMA and any of the DBP groupings.
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