Rehpenning W, Harm K, Domesle A, Voigt K D
J Clin Chem Clin Biochem. 1979 Sep;17(9):565-72.
The application of the binomial distribution for determining the number of "falsely positive values" is not suitable because of the partly strong correlations between the clinical chemical parameters. We have therefore tried to obtain more precise estimations for the number of falsely positive values by using a generalisation from Sylvester's formula and taking into account the correlations. We use multivariate statistics for testing a patient's value" when several laboratory parameters are simultaneously considered. The multivariate technique leads firstly to a significant reduction of the erroneously interpreted "falsely positive values" and secondly allows the detection of hidden implausible constellations of values.
由于临床化学参数之间部分存在较强的相关性，因此应用二项分布来确定“假阳性值”的数量并不合适。因此，我们尝试通过对西尔维斯特公式进行推广并考虑相关性，来获得对假阳性值数量更精确的估计。当同时考虑多个实验室参数时，我们使用多元统计来检验患者的值。多元技术首先会显著减少错误解释的“假阳性值”，其次能够检测出隐藏的不合理值组合。
