Fitting limiting dilution experiments with generalized linear models results in a test of the single-hit Poisson assumption
Fitting limiting dilution experiments with generalized linear models results in a test of the single-hit Poisson assumption
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DOI：
10.1016/0022-1759(96)00077-4
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发表时间：
1996-08-14
影响因子：
2.2
通讯作者：
Sotto, JJ
中科院分区：
文献类型：
--
作者：
Bonnefoix, T;Bonnefoix, P;Sotto, JJ
有限稀释分析是免疫学中常用的一种技术，用于准确估计具有多种功能活性（如生长、细胞毒性和淋巴因子产生）的细胞频率。通常通过标准卡方（χ²）检验来检验估计频率的可靠性，该检验验证对单次击中泊松模型（SHPM）的拟合优度。我们提供的证据表明，根据广义线性模型对有限稀释数据进行建模，为检测偏离SHPM的情况提供了一种替代标准卡方检验的方法，且与卡方检验相比，功效有显著提高。
Limiting dilution analysis is a common technique that is used in immunology to estimate accurately the frequency of cells possessing a wide variety of functional activities such as growth, cytotoxicity and production of lymphokines. The reliability of the estimated frequency is usually checked by a standard chi-square (chi(2)) test validating the goodness-of-fit to the single-hit Poisson model (SHPM). We present evidence that modelling limiting dilution data according to a generalized linear model offers an alternative to the standard chi(2) test for detecting departures from the SHPM, with a considerable increase in power compared to the chi(2) test.