Murray J F, Bergus G R
US Quality Algorithms, Blue Bell, Pennsylvania, USA.
Prim Care. 1995 Jun;22(2):247-59.
Information about the relationship between risk factors and the probability of disease is often reported by an odds ratio, although its use for revising the probability of disease in a clinical setting is not intuitive and requires complex computations. A somewhat better approach is Bayesian probability revision. The authors present a method where likelihood ratios can be obtained from odds ratios, and they present simple computational methods for implementing all of the techniques described.
关于风险因素与疾病发生概率之间关系的信息通常通过比值比来报告，尽管在临床环境中使用比值比来修正疾病发生概率并不直观，且需要复杂的计算。一种稍好的方法是贝叶斯概率修正。作者提出了一种可从比值比中获取似然比的方法，并给出了实现所有所述技术的简单计算方法。
