ANALYSIS AND COMPARISON OF SIGMOIDAL CURVES - APPLICATION TO DOSE-RESPONSE DATA

ANALYSIS AND COMPARISON OF SIGMOIDAL CURVES - APPLICATION TO DOSE-RESPONSE DATA
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DOI:
10.1152/ajpgi.1989.257.6.g982
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发表时间:
1989-12-01
影响因子:
--
通讯作者:
FICK, GH
FICK, GH
中科院分区:
其他
文献类型:
--
作者:
MEDDINGS, JB;SCOTT, RB;FICK, GH

文献摘要

被引文献

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许多生理学或药理学研究产生S形剂量反应曲线。理想情况下,数据分析应提供曲线参数的数值解。此外,对于在不同实验条件下获得的曲线,应易于进行显著性差异的检验。我们回顾了过去3年来在6种期刊上发表的胃肠生理学领域的文献,并建立了在每种期刊上使用的曲线分析技术。使用已知误差结构的模拟实验数据,我们比较了这些技术与非线性回归分析。就其提供ED 50和最大反应的准确估计值的能力而言,没有一种方法接近非线性回归的准确度和精密度。该技术与经典方法一样容易执行,并且还提供了对数据进行严格统计分析的机会。我们提出了一种方法,确定在不同的实验条件下的ED 50和最大反应中发现的差异的显着性。该方法用途广泛,适用于各种不同的生理和药理剂量反应曲线。
A number of physiological or pharmacological studies generate sigmoidal dose-response curves. Ideally, data analysis should provide numerical solutions for curve parameters. In addition, for curves obtained under different experimental conditions, testing for significant differences should be easily performed. We have reviewed the literature over the past 3 years in six journals publishing papers in the field of gastrointestinal physiology and established the curve analysis technique used in each. Using simulated experimental data of known error structure, we have compared these techniques with nonlinear regression analysis. In terms of their ability to provide accurate estimates of ED50 and maximal response, none approached the accuracy and precision of non-linear regression. This technique is as easily performed as the classic methods and additionally provides an opportunity for rigorous statistical analysis of data. We present a method of determining the significance of differences found in the ED50 and maximal response under different experimental conditions. The method is versatile and applicable to a variety of different physiological and pharmacological dose-response curves.