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使用广义线性模型进行拟合极限稀释实验会得出对单次打击泊松假设的检验。

Fitting limiting dilution experiments with generalized linear models results in a test of the single-hit Poisson assumption.

作者信息

Bonnefoix T, Bonnefoix P, Verdiel P, Sotto J J

机构信息

ID9 SOFT, Grenoble, France.

出版信息

J Immunol Methods. 1996 Aug 14;194(2):113-9. doi: 10.1016/0022-1759(96)00077-4.

DOI:10.1016/0022-1759(96)00077-4
PMID:8765164
Abstract

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 (x2) 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 x2 test for detecting departures from the SHPM, with a considerable increase in power compared to the x2 test.

摘要

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。估计频率的可靠性通常通过标准卡方(x2)检验来检查,该检验用于验证与单打击泊松模型(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x2检验的方法,与x2检验相比,功效有显著提高。

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Fitting limiting dilution experiments with generalized linear models results in a test of the single-hit Poisson assumption.使用广义线性模型进行拟合极限稀释实验会得出对单次打击泊松假设的检验。
J Immunol Methods. 1996 Aug 14;194(2):113-9. doi: 10.1016/0022-1759(96)00077-4.
2
The standard chi 2 test used in limiting dilution assays is insufficient for estimating the goodness-of-fit to the single-hit Poisson model.在有限稀释分析中使用的标准卡方检验不足以评估与单打击泊松模型的拟合优度。
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Graphical representation of a generalized linear model-based statistical test estimating the fit of the single-hit Poisson model to limiting dilution assays.基于广义线性模型的统计检验的图形表示,该检验用于评估单打击泊松模型对有限稀释分析的拟合度。
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