Practicable confidence intervals for current status data.
Practicable confidence intervals for current status data.
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当前状态数据的实用置信区间。
DOI：
10.1002/sim.5609
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发表时间：
2013
影响因子：
2
通讯作者：
Brookhart,MAlan
中科院分区：
文献类型：
--
作者：
Choi,ByeongYeob;Fine,JasonP;Brookhart,MAlan
虽然二元保序回归和当前状态生存数据的置信区间（CI）在理论上已经得到了很好的研究，但其实际应用受到了限制，部分原因是小样本性能差，部分原因是计算困难。Ghosh，Banerjee和Biswas（2008，Biometrics 64，1009 - 1017）描述了构建CI的三种方法：（i）基于Wald的方法;（ii）基于子抽样的方法;（iii）基于似然比检验（LRT）的方法。在模拟研究中，他们发现基于子采样的方法和基于LRT的方法往往比简单的基于Wald的方法具有更好的覆盖概率，后者在实际样本量中可能表现不佳。然而，目前还没有实现这些方法的软件。在这篇文章中，我们表明，通过使用变换，可以在小样本量和中等样本量的情况下改进简单的Wald CI，从而与基于LRT的方法具有竞争力。我们的模拟进一步表明，一个简单的非参数自举近似正确的CI的数据生成机制，我们认为。我们提供了一个R包，可用于计算Wald‐type和bootstrap CI，并通过两个真实的数据分析证明其实用性。版权所有© 2012约翰威利父子有限公司.
Although confidence intervals (CIs) for binary isotonic regression and current status survival data have been well studied theoretically, their practical application has been limited, in part because of poor performance in small samples and in part because of computational difficulties. Ghosh, Banerjee, and Biswas (2008,Biometrics64, 1009‐1017) described three approaches to constructing CIs: (i) the Wald‐based method; (ii) the subsampling‐based method; and (iii) the likelihood‐ratio test (LRT)‐based method. In simulation studies, they found that the subsampling‐based method and LRT‐based method tend to have better coverage probabilities than a simple Wald‐based method that may perform poorly in realistic sample sizes. However, software implementing these approaches is currently unavailable. In this article, we show that by using transformations, simple Wald‐based CIs can be improved with small and moderate sample sizes to have competitive performance with LRT‐based method. Our simulations further show that a simple nonparametric bootstrap gives approximately correct CIs for the data generating mechanisms that we consider. We provide an R package that can be used to compute the Wald‐type and the bootstrap CIs and demonstrate its practical utility with two real data analyses. Copyright © 2012 John Wiley & Sons, Ltd.