The analysis of regression
atherosclerosis, Behcet’s disease, Behcet’s illness
REGRESSION, ATHEROSCLEROSIS

Univariate linear regression examination of factors influencing CIMT in Behect’s patients revealed a significant positive relationship with age (Multivariate linear regression analysis of factors affecting CIMT in patients with Behcet’s disease (include significant variable in univariate) revealed that age of patient (The most important predictors of subclinical atherosclerosis in patients with Behcet’s illness are male gender, platelet count, S. irisin, and ankle brachial pressure index, as demonstrated in Table The ROC analysis (Fig. Multivariate logistic regression analysis of factor predicting subclinical atherosclerosis in patient with Behcet’s disease include significant variable in univariate analysisMultivariate logistic regression test. Statistical significant difference (ROC analysis of S. irisin and ankle brachial pressure index in predicting subclinical atherosclerosis. Roc curve analysis test. Statistically significant difference (