Yang Hongmei, Topham David J, Holden-Wiltse Jeanne, Wu Hulin
Department of Biostatistics & Computational Biology, University of Rochester Medical Center, Rochester, NY 14642, USA.
J Biopharm Stat. 2013;23(4):921-36. doi: 10.1080/10543406.2013.790645.
The ELISPOT assay is often used for cell count determination in immunological studies. Automated methods are needed to estimate cell concentrations from spot counts obtained from the assay. Three major distributions are assumed for observational cell counts. For each assumed distribution, individual least squares (LS)/ maximum likelihood and/or individual robust least squares (RLS) are applied for parameter estimation. Distributions of study endpoints (derived variables), defined as percentages of antigen-specific memory cell per total immunoglobulin G (IgG), are investigated to provide a basis for hypothesis testing. We show, under some weak conditions, that the distribution of endpoint estimates across subjects is approximately the same within a group. Thus, the t -test or the Wilcoxon Rank Sum test can be applied to detect group differences. These methods are compared through simulations and application to real data.
酶联免疫斑点(ELISPOT)测定法常用于免疫研究中的细胞计数测定。需要自动化方法根据该测定法获得的斑点计数来估计细胞浓度。观测到的细胞计数假定有三种主要分布。对于每种假定的分布,应用个体最小二乘法(LS)/最大似然法和/或个体稳健最小二乘法(RLS)进行参数估计。研究终点(派生变量)的分布定义为总免疫球蛋白G(IgG)中抗原特异性记忆细胞的百分比,对其进行研究以提供假设检验的基础。我们表明,在一些弱条件下,一组内各受试者终点估计值的分布大致相同。因此,可以应用t检验或Wilcoxon秩和检验来检测组间差异。通过模拟和实际数据应用对这些方法进行了比较。