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致癌风险评估的机制建模中的统计研究需求。

Statistical research needs in mechanistic modelling for carcinogenic risk assessment.

作者信息

Portier C, el Masri H

机构信息

National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, NC 27709, USA.

出版信息

Stat Methods Med Res. 1997 Dec;6(4):305-15. doi: 10.1177/096228029700600402.

DOI:10.1177/096228029700600402
PMID:9447651
Abstract

If the broad spectrum of mechanistic research conducted on an environmental carcinogen is to be used in quantifying cancer risks, statisticians must play a key role. Statistical methods are critically needed for a scientifically valid analysis of a complicated series of linked experimental findings. This will require a greater understanding of the underlying biology than is common in statistical consulting, aiding in the development of complicated mechanistically based mathematical descriptions of mean response and in the creation of statistical methods for the estimation of model parameters (e.g. likelihoods) able to use both the underlying model and much of the available data.

摘要

如果要将针对环境致癌物开展的广泛机制性研究用于量化癌症风险,统计学家必须发挥关键作用。对于一系列复杂的相互关联的实验结果进行科学有效的分析,极其需要统计方法。这将需要比统计咨询中常见的情况更深入地理解基础生物学,以帮助开发基于机制的复杂的平均反应数学描述,并创建用于估计模型参数(例如似然性)的统计方法,这些方法能够利用基础模型和大量现有数据。

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