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Secondary analyses on dichotomous data (e.g. on presence of metabolic syndrome and movement disorders) will be conducted using logistic regression analysis.
Statistical analysis will be conducted using logistic regression which permits adjustment for confounders, and both crude and adjusted odds ratios will be presented.
When events are reported in terms of occurrence (e.g., a binary event where a subject experienced an event or did not) or grade of occurrence (e.g., an ordered categorical event where increasing severity is associated with higher event grades), the relationship between exposure and events should be conducted using logistic regression because intermediate grades or occurrences cannot occur.
Similar(57)
Univariate comparison of demographic parameters, symptoms and signs was conducted using logistic regression to determine statistically significant parameters of interest.
Multivariate analyses were conducted using logistic regression.
Conditional analysis was conducted using logistic regression.
Multivariate comparisons were conducted using logistic and linear regression.
Association analyses were conducted using logistic regression in PLINK.
Stratified analysis was conducted using logistic regression adjusted for age, gender and clustering within practices.
Analysis was conducted using logistic regression techniques within a multilevel framework.
£ The analyses were conducted using logistic mixed models adjusted for the period.
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