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Secondary analysis: Exploratory analysis of primary endpoints regarding the relations with and clinical outcomes assessed at T = 24-72 h will be done using logistic regression or Anova.
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After feature extraction, classification is done using logistic regression and support vector machines.
Statistical calculation was done using logistic regressions with STATA14 (College Station, TX, USA).
Risk factors (hyperlipidemia, hypertension, atrial fibrillation, migraine, CAD, diabetes, smoking and alcohol consumption) were assessed as confounding factors and comparisons were done using logistic regression analysis.
The 25th centile was used to define "early" sex, and analyses of risk factors for early sex were restricted to those who had reached that age, and were done using logistic regression.
The 25th centile of age at sexual debut was used to define "early" sex, and subsequent analyses of determinants of early sex only included individuals over these cut-off ages, and was done using logistic regression.
Multivariate analysis was done using logistic regression.
Multivariable-adjusted analyses were done using logistic regression.
Statistical analysis was done using logistic regression and linear regression.
Associations of morning stiffness in arthralgia and early arthritis were done using logistic regression analyses.
Univariate and multivariate analysis was done using logistic regression to identify variables associated with the T2/Uganda II MTB genotype.
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