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研究特异性未知的纯合分型细胞的统计学方法。

Statistical methods for studying homozygous typing cells of unknown specificity.

作者信息

Mendell N R, Johnson A H, Ward F E, Hartzman R J, Phillips E A, Ayres J, Amos D B, Ciftan E A

出版信息

Hum Immunol. 1981 Mar;2(2):125-38. doi: 10.1016/0198-8859(81)90059-8.

Abstract

A situation can arise in D typing in which the HLA (A,B,C,D, or DR) specificities of the responders are known and the specificities of the HTC's are unknown. The most powerful and direct method of detecting association between the unknown stimulator (HTC) and any given HLA specificity is by comparing the observed double normalized values (DNV's) of individuals known to be positive for the specificity with the DNV's of negative individuals. This can be done by comparing the two groups with a Kolmogorov-Smirnov test (K-S test), an established statistical procedure for evaluating correlation between continuous variables, such as the DNV, and discrete variables (such as presence of D type). The application of the K-S test will generate as a "cutoff" value of point that maximizes the average of the frequencies of correct assignments in D positives and D negatives. We also propose an alternative method of computing the "r" value. We have analyzed 49 HTC's from the 8th International Workshop and present the association observed with the D and DR specificities.

摘要

在D分型中可能会出现这样一种情况,即应答者的HLA(A、B、C、D或DR)特异性已知,而HTC的特异性未知。检测未知刺激物(HTC)与任何给定HLA特异性之间关联的最有效、最直接的方法是,将已知对该特异性呈阳性的个体的观察到的双归一化值(DNV)与阴性个体的DNV进行比较。这可以通过用柯尔莫哥洛夫-斯米尔诺夫检验(K-S检验)比较这两组来完成,K-S检验是一种既定的统计程序,用于评估连续变量(如DNV)与离散变量(如D型的存在)之间的相关性。K-S检验的应用将产生一个“临界”值点,该点能使D阳性和D阴性中正确分型频率的平均值最大化。我们还提出了一种计算“r”值的替代方法。我们分析了来自第8届国际研讨会的49个HTC,并展示了观察到的与D和DR特异性的关联。

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