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In supportive analyses, changes in the primary outcome from baseline to 3 and 6 months will be compared between groups using linear regression modelling adjusting for baseline scores.
Differences in mean change from baseline to each time point will be compared between groups using generalised linear regression modelling adjusting for baseline levels of the outcome measure.
30 Analysis of the primary endpoint (average ΔDAS28) and other endpoint comparisons was carried out using linear regression modelling adjusting for age, gender, centre and baseline DAS28 score.
For outcomes measured using an essentially continuous scale, differences in mean change from baseline to 12 months will be compared between groups using linear regression modelling adjusting for baseline levels of the outcome measure.
Multivariate modelling adjusting for age, residual disease (microscopic vs gross) and cell type demonstrated that IV patients with aberrant vs normal BRCA1 expression exhibited an increased risk of death (adjusted HR=1.46, 95% CI=1.04 2.03, P=0.028).
For outcomes measured using an essentially continuous scale, differences in mean change from baseline to each time point will be compared between groups using linear regression modelling adjusting for baseline levels of the outcome measure.
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Single-nucleotide polymorphisms were tested for association using a logistic regression model adjusting for admixture proportions.
ANALYSIS: Chi-square tests, logistic regression models adjusting for race/ethnicity, socioeconomic status, and vegetarian status.
However, this association was reduced in models that adjusted for cigarette consumption and history of alcohol dependence and was rendered nonsignificant in a model adjusting for sleep disturbance.
Both predictors were influential in models adjusting for each other.
- Model 2: random intercept model, adjusting for resident characteristics.
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