摘要
目的利用非线性过程对不同血细胞分析仪之间的结果进行比对研究。方法每天收集5份高、中、低不同浓度水平的病人血液样本，每份样本分别使用Bayer120、CD3500、BC5500和BC3000血细胞分析仪进行测定，利用SPSS曲线拟合（Curve Estimation）程序的11种回归模型（包括线性模型）对不同仪器WBC，RBC和HGB项目的测定结果进行拟合。结果所选出的最佳模型的决定系数值均大于0．981（相关系数大于0．990），这使血细胞分析仪之间的方法比对和偏差估计更为准确可靠，且可比对范围更广。结论非线性比对适用于临床检验的方法比对和偏差估计。
Objective To compare the measured results from 4 hemotology analyzers using nonlinear procedure. Methods Daily 5 blood samples with high, normal and low measured values from patients were collected and analyzed respectively using 4 hemotology analyzers, Bayer120, CD3500, BC5500 and BC3000. The measured results of WBC, RBC, HGB and PLT from CD3500, BC5500 and BC3000 were respectively related to Bayer120 through 11 regression models （including linear model） from SPSS curve estimation program. Results The coefficient of determination （R^2） of all best regression models found out was more than 0. 981, and then method comparison and bias estimation between different herhotology analyzers could be made with more exact bias estimation and wider comparative range than only using linear model. Conclusion Nonlinear comparison is suitable for method comparison and bias estimation for clinic laboratory.
出处
《中国临床新医学》
2009年第1期25-28,共4页
CHINESE JOURNAL OF NEW CLINICAL MEDICINE
关键词
非线性比对
曲线拟合
SPSS
方法比对
偏差估计
Nonlinear comparison
Curve Estimation
SPSS
Method comparison
Bias estimation
