A quantal statistical isobologram model to identify joint action for chemical mixtures

作者：Chen D G^*

来源：Environmetrics, 2009, 20(1): 101-109.

DOI：10.1002/env.918

• chemical mixtures
• risk assessment
• toxicology
• maximum likelihood estimation
• quantal dose-response modeling
• ED(100p) isobols

The isobologram model is a commonly used and powerful I graphical and statistical tool for analyzing the joint action for simple chemical mixtures. Substantial research has been clone for the quantitative response and the amount Of research in the qualitative framework is minuscule. In this paper, isobologram model is proposed to analyze the joint action of chemical mixtures for quantal dose-response relationship based on the generalized linear model technique to estimate the associated parameters by the maximum likelihood estimation and then to be used to construct the isobologram so that the joint action from the chemicals can be identified both by the isobologram and the statistical inference for interaction parameter. A real dataset is Used to illustrate the application of the developed approach.

• 出版日期2009-2