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Multiple linear regression analysis using urinary sialylated glycoprotein excretions as dependent variables in the patients with type 2 diabetes (n = 85).

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Multiple_linear_regression_analysis_using_urinary_sialylated_glycoprotein_excretions_as_dependent_variables_in_the_patients_with_type_2_diabetes_n_8202_8202_85_/823955
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Estimated glomerular filtration rate (eGFR), albumin/creatinine ratio and HDL cholesterol (HDL-C) are used as independent variables in stepwise multiple linear regression analysis in model 1. In model 2, all parameters are included in the analysis.*p**p
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2015-12-02
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