Somoza E, Mossman D
Psychiatry Service, Department of Veterans Affairs Medical Center, Cincinnati, OH 45220.
J Neuropsychiatry Clin Neurosci. 1992 Spring;4(2):214-9. doi: 10.1176/jnp.4.2.214.
We continue our examination of diagnostic tests that are used to assign individuals to one of two mutually exclusive categories, those having or not having a particular disorder. Our last article showed how the information yielded by a test depends on the choice of cutoff and on the patient's pre-test probability of having the disorder. In this article, we demonstrate a method of optimizing a test's information yield that allows us to determine which of several tests gives the most information. Our technique allows us to compare a test's performance with that of a perfect diagnostic test.
我们继续探讨用于将个体归入两个互斥类别之一（即患有或未患有特定疾病）的诊断测试。我们的上一篇文章展示了测试所产生的信息如何取决于临界值的选择以及患者在测试前患有该疾病的概率。在本文中，我们演示一种优化测试信息产出的方法，该方法能让我们确定几种测试中哪一种能提供最多信息。我们的技术使我们能够将一种测试的性能与完美诊断测试的性能进行比较。
