After adjusted by the C-reactive protein level in multivariate model, the elevated MPO activity of 10 units was attributed to an increased cardiovascular risk for 20.4%.
在多变量模型中,经c -反应蛋白水平校正后,MPO活性每增加10单位,合并心血管疾病的危险增加20.4%。
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
通过多元线性回归分析,建立了用多种测井信息划分、评价储层的数学模型。
CONCLUSION: multivariate random coefficients model can effectively analyze the dynamic change trend and random effects of multivariate repeated measures data in medical research.
结论:多变量随机系数模型可有效地进行多变量重复观测数据的动态变化趋势分析以及随机效应分析。
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