Glasziou P, Hilden J
Med Decis Making. 1986 Jul-Sep;6(3):161-8. doi: 10.1177/0272989X8600600306.
When a decision table is used to find a maximum expected utility testing strategy, it is based on a given prior probability distribution of diseases. In the two-disease situation, a threshold analysis over all prior probabilities can be done using threshold transformations of the points of indifference between treatments. This results in a set of prior probability intervals each with its own unique decision rule. The Boolean expression for the table indicates the acceptable testing strategies. A decision table analysis may then be extended to include invasive or costly investigations. The technique represents a saving in time and effort compared with standard decision tree approaches, especially where investigative recommendations are to be made for a broad range of prior probabilities, e.g., where initial symptoms and signs are considered before the investigations.
当使用决策表来寻找最大期望效用测试策略时，它基于给定的疾病先验概率分布。在两种疾病的情况下，可以使用治疗之间无差异点的阈值变换对所有先验概率进行阈值分析。这会产生一组先验概率区间，每个区间都有其独特的决策规则。该表的布尔表达式表示可接受的测试策略。然后，可以将决策表分析扩展到包括侵入性或昂贵的检查。与标准决策树方法相比，该技术节省了时间和精力，特别是在要针对广泛的先验概率提出调查建议的情况下，例如在进行检查之前考虑初始症状和体征的情况。
