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对具有两个以上分支的机会节点进行敏感性分析。

Sensitivity analysis on a chance node with more than two branches.

作者信息

Sendi P P, Clemen R T

机构信息

Internal Medicine Outpatient Department, University of Basel, Switzerland.

出版信息

Med Decis Making. 1999 Oct-Dec;19(4):499-502. doi: 10.1177/0272989X9901900418.

Abstract

Sensitivity analysis is an essential part of decision analysis. The literature on medical decision analysis suggests the use of two-branch chance nodes in decision trees to avoid logical inconsistencies during sensitivity analysis. The authors show that the two-branch decomposition is not appropriate for sensitivity analysis when multiple outcomes from a single state cannot be disentangled into a sensible sequence of events. They recommend retaining the natural structure of the tree and propose two sensitivity-analysis methods for use on chance nodes with three or more branches.

摘要

敏感性分析是决策分析的重要组成部分。关于医学决策分析的文献表明,在决策树中使用双分支机会节点,以避免敏感性分析过程中出现逻辑不一致的情况。作者表明,当单个状态的多个结果无法分解为合理的事件序列时,双分支分解不适用于敏感性分析。他们建议保留树的自然结构,并针对具有三个或更多分支的机会节点提出两种敏感性分析方法。

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