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目的:在医学研究和临床检验中经常使用定量检测法,在该方法中标准曲线被广泛应用,且其准确性直接影响检测结果.从统计学角度对其进行修正,使结果更为可靠.方法:应用直线回归法对直线型标准曲线进行处理,求出直线回归方程;对曲线型标准曲线,先将指数方程取对数后变成直线方程,然后求直线回归方程后再回代,求出曲线回归方程.结果:以蛋白量与其对应的OD值间关系求得直线回归方程y=0 .0 0 6x;以TNFα浓度与对应的OD值间关系求得指数回归方程y=0 .0 1 5 x0 .732 ,对两者进行F检验,回归效果均极显著.结论:应用回归法可获得定量检测法中常用的直线型及曲线型标准曲线的方程,据此可直接计算出待测样本所需数据,使其更为简便、准确、可靠.
OBJECTIVE: Quantitative detection methods are often used in medical research and clinical tests. In this method, the standard curve is widely used, and its accuracy directly affects the test results. It is corrected from a statistical point of view to make the results more reliable. : Straight line regression method is used to process the straight line standard curve, and the linear regression equation is obtained. For the curve type standard curve, the logarithm of the exponential equation is firstly converted to a linear equation, and then the linear regression equation is obtained and then the generation is returned. Curve regression equation. Results: The linear regression equation y=0.0 0 6x was obtained by the relationship between the protein amount and its corresponding OD value; the exponential regression equation y=0 was obtained by the relationship between the TNFα concentration and the corresponding OD value. 0 1 5 x0 .732 , the F test of the two, the regression effect is extremely significant. Conclusion: The regression equation can be used to obtain the equations of the linear and curve-type standard curves commonly used in quantitative detection methods. Measure the data required by the sample to make it simpler, more accurate and more reliable.