Identification and Review of Sensitivity Analysis Methods
Identification and Review of Sensitivity Analysis Methods
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DOI：
10.1111/0272-4332.00039
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发表时间：
2002-06
期刊：
影响因子：
3.8
通讯作者：
H. Christopher Frey;Sumeet R. Patil
中科院分区：
文献类型：
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作者：
H. Christopher Frey;Sumeet R. Patil
本文介绍了已在不同学科中使用的敏感性分析方法的识别和定性比较，这些方法值得考虑应用于食品安全风险评估模型。敏感性分析可以帮助确定关键控制点，优先考虑额外的数据收集或研究，以及验证和验证模型。确定了10种敏感性分析方法，包括4种数学方法，5种统计方法和1种图形方法。所选择的方法进行比较的基础上，其适用于不同类型的模型，计算问题，如初始数据的要求和复杂性，其应用程序，代表的灵敏度，以及这些方法的具体用途。这些方法的应用说明了从各个领域的例子。对于食品安全风险模型来说，没有一种方法是最好的。一般而言，可能需要使用两种或两种以上的方法，最好是具有不同理论基础的方法，以增加对关键投入排序的信心。
Identification and qualitative comparison of sensitivity analysis methods that have been used across various disciplines, and that merit consideration for application to food‐safety risk assessment models, are presented in this article. Sensitivity analysis can help in identifying critical control points, prioritizing additional data collection or research, and verifying and validating a model. Ten sensitivity analysis methods, including four mathematical methods, five statistical methods, and one graphical method, are identified. The selected methods are compared on the basis of their applicability to different types of models, computational issues such as initial data requirement and complexity of their application, representation of the sensitivity, and the specific uses of these methods. Applications of these methods are illustrated with examples from various fields. No one method is clearly best for food‐safety risk models. In general, use of two or more methods, preferably with dissimilar theoretical foundations, may be needed to increase confidence in the ranking of key inputs.