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消除血凝抑制(HI)效价几何平均数估计中的偏差。

Eliminating bias in the estimation of the geometric mean of HI titres.

作者信息

Nauta Jozef J P

机构信息

Clinical Development Influenza Vaccines, Solvay Pharmaceuticals, P.O. Box 900, NL-1380 DA Weesp, The Netherlands.

出版信息

Biologicals. 2006 Sep;34(3):183-6. doi: 10.1016/j.biologicals.2005.09.001. Epub 2005 Oct 28.

Abstract

The standard test for anti-haemagglutinin antibody titration is the haemagglutination inhibition (HI) test. The HI titre is defined as the dilution factor of the highest dilution that still completely inhibits haemagglutination. If the highest dilution tested (1:2560) still completely inhibits haemagglutination, an HI titre value of 2560 is assigned. Logarithmically transformed HI titres tend to be normally distributed. But because dilutions less than 1:2560 are not tested, the distribution may be truncated and the assumption of normality may not hold. As a consequence, the geometric mean titre (GMT) will be underestimated. Using data from 10 clinical studies, it is shown here that the GMT may be underestimated by 5-13%. An unbiased estimate of the GMT can be obtained by a statistical method that originates from the analysis of survival data: maximum likelihood estimation for censored observations. The maximum likelihood estimate of the GMT of truncated HI titres can be readily obtained using the statistical software package SAS.

摘要

抗血凝素抗体滴定的标准检测方法是血凝抑制(HI)试验。HI滴度定义为仍能完全抑制血凝的最高稀释度的稀释倍数。如果测试的最高稀释度(1:2560)仍能完全抑制血凝,则赋予HI滴度值2560。经对数转换的HI滴度往往呈正态分布。但由于未测试低于1:2560的稀释度,分布可能被截断,正态性假设可能不成立。因此,几何平均滴度(GMT)会被低估。本文利用10项临床研究的数据表明,GMT可能被低估5%至13%。通过一种源自生存数据分析的统计方法:截尾观测值的最大似然估计,可以获得GMT的无偏估计。使用统计软件包SAS可以轻松获得截尾HI滴度GMT的最大似然估计值。

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