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Primary interest was in the effects of sex and SES decile (and the interaction between the two) on primary TKR, whilst modelling for age and year of procedure; this was used as the initial model, with further higher order interaction terms chosen through a stepwise approach to improve model fit.
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Both constructs were modeled for the ages 16 and 19.
A genetic model for age of onset in Huntington disease.
We first adjusted the model for age and tumour stage.
We first adjusted the Cox regression model for age (model 1).
We adjusted models for age, sex, race/ethnicity, and community-level socioeconomic status (cSES).
We adjusted all models for age, sex, baseline biomarker concentrations, diet sequence and feeding period.
We adjusted all models for age, race/ethnicity, gender, and diabetes status.
Potential confounding was addressed by adjusting the model for age, smoking status, asthma and heart disease.
Based on preliminary analysis, two parameters were introduced in the multivariate models for age (completed years): age and squared age.
Multiple linear regression models for age were generated, adjusting for patient ethnicity, gender, tumour location and neoplastic grades.
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