Point and interval estimation of accuracies of a binary medical diagnostic test following group sequential testing.
Point and interval estimation of accuracies of a binary medical diagnostic test following group sequential testing.
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组序贯测试后二元医学诊断测试准确性的点和区间估计。
DOI：
10.1098/rsta.2008.0041
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Li,Zhaohai
中科院分区：
文献类型：
--
作者：
Shu,Yu;Liu,Aiyi;Li,Zhaohai
当使用组顺序程序同时测试有关二元医学诊断测试的敏感性和特异性的假设时，构造参数的点和区间估计是具有挑战性的，因为没有唯一的方法来对二维空间中的样本点进行排序。在这篇论文中，我们在一组序列过程终止后，比较了灵敏度和特异性的最大似然无偏估计和Rao-Blackwell无偏估计的偏差和均方误差。采用基于极大似然估计和Rao-Blackwell无偏估计的正态近似和Woodroofe枢轴方法构建两个参数的置信区间。通过仿真研究，比较了参数的覆盖概率和ci的期望长度。
When hypotheses concerning the sensitivity and specificity of a binary medical diagnostic test are simultaneously tested using a group sequential procedure, constructing point and interval estimates of the parameters is challenging because there is no unique way to order sample points in the two-dimensional space. In this paper, upon termination of a group sequential procedure, we compare the bias and mean squared errors of the maximum-likelihood and Rao–Blackwell unbiased estimators of sensitivity and specificity. Confidence intervals (CIs) of the two parameters were constructed using normal approximation and Woodroofe's pivot methods based on maximum-likelihood and Rao–Blackwell unbiased estimates. The coverage probability and the expected length of CIs for the parameters were compared by simulation studies.