Regression analyses predicting pain intensity from pain condition, attachment dimensions, and interaction between pain condition and attachment dimensions.

NIAID Data Ecosystem40

Simple and multiple regression analyses for log U-FABP4 (n = 299).

生物标志物分析

医学回归建模

FABP, fatty acid-binding protein; GFR, glomerular filtration rate; hsCRP, high-sensitivity C-reactive protein; UACR, urine albumin-to-creatinine ratio; NS, not selected.Simple and multiple regression

Figshare2015-12-02 更新20

Linear regression model for pain intensity.

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