Univariate and multivariate linear regression analyses between urine periostin levels and other parameters in patients with type 2 diabetes.
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Independent variables in the multivariate linear regression model were chosen using a stepwise regression analysis where all significant variables listed in the univariate analysis were included. FPG; fasting plasma glucose, HbA1C; hemoglobinA1C, eGFR; estimated glomerular filtration rate, LDL; low density lipoprotein, UACR; urine albumin creatinine ratioUnivariate and multivariate linear regression analyses between urine periostin levels and other parameters in patients with type 2 diabetes.
创建时间：
2015-12-03
