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Detailed models are age appropriate, and there is enough variety to keep children engaged.
Few prior studies analyzed the effect of age on clinical predictors, although two studies suggested predictor models are age dependent [ 27, 30].
In multinomial logistic regression models rather than linear models, are age, race/ethnicity and body mass index (BMI) groups more strongly associated with different statistically determined sex steroid hormone clusters?
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Final models were age and gender-adjusted but otherwise included only variables whose odds ratios were significant at p ≤0.05.
Final models were age and gender-adjusted with model selection based on variables whose unadjusted odds ratios were significant at p ≤ 0.2.
Significant covariates retained in the final models were age, stress and non-healthy behaviours.
Sets of independent variables used in the multivariate models were age [model I], age, education, and poverty [model II], age, education, poverty, and country [model III], and age, education, poverty, country, and alcohol and smoking behaviours [model IV].
The A models were age adjusted models.
The underlying time scale for all models was age reached.
Also included in the models were age and Health Authority of residence.
Additional covariates included in the models were age, gender, lymph node involvement and treatment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com