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首页> 外文期刊>The Indian Journal of Statistics >Comparing two diagnostic test's when two tests are applied to same patients and test scores are given in categories
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Comparing two diagnostic test's when two tests are applied to same patients and test scores are given in categories

机译:比较将两种测试应用于同一个患者并且两种测试的得分在类别中给出的两种诊断测试

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摘要

Suppose that a new diagnostic test is developed for making sharp distinction between disease A and B. To show its superiority to the standard test, the study design is introduced that the new and standard test are applied blindly to each patient in two groups, one group is definitely known being contracted with disease A and the other definitely known being contracted with disease B, where test scores are given in categories by multiple readers (raters). The design inevitably limits the number of patients used for the comparison and dependency could be introduced between the results of two tests. Application of existing statistical methods is not easy to be justified since they are based on asymptotic distributions of test statistics. We develop in this paper a method based on conditional logistic regressions that is applicable to small size of data and is useful to show the superiority of the new test to standard test by adjusting for the effect of readers in the study design. The method is applied to the data for comparing a new test and standard test for differentiating between epidermal cyst and ganglion.
机译:假设开发了一种新的诊断测试以区分疾病A和疾病B。为了显示其优于标准测试的优势,引入了研究设计,将新测试和标准测试盲目地应用于两组的每位患者,一组肯定已知与疾病A感染,而另一个已知与疾病B感染,其中测试分数由多个读者(评估者)给出类别。该设计不可避免地限制了用于比较的患者数量,并且可能在两次测试的结果之间引入依赖性。现有统计方法的应用不容易被证明是正确的,因为它们是基于检验统计量的渐近分布的。我们在本文中开发了一种基于条件逻辑回归的方法,该方法适用于小数据量,通过调整读者在研究设计中的作用,可用于证明新测试对标准测试的优越性。该方法应用于数据,以比较区分表皮囊肿和神经节的新方法和标准方法。

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