• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of applied statistics >Joint estimation of disease-specific sensitivities and specificities in reader-based multi-disease diagnostic studies of paired organs
【24h】

Joint estimation of disease-specific sensitivities and specificities in reader-based multi-disease diagnostic studies of paired organs

机译：在配对器官的基于读者的多疾病诊断研究中联合评估疾病特异性敏感性和特异性

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Binocular data typically arise in ophthalmology where pairs of eyes are evaluated, through some diagnostic procedure, for the presence of certain diseases or pathologies. Treating eyes as independent and adopting the usual approach in estimating the sensitivity and specificity of a diagnostic test ignores the correlation between fellow eyes. This may consequently yield incorrect estimates, especially of the standard errors. The paper is concerned with diagnostic studies wherein several diagnostic tests, or the same test read by several readers, are administered to identify one or more diseases. A likelihood-based method of estimating disease-specific sensitivities and specificities via hierarchical generalized linear mixed models is proposed to meaningfully delineate the various correlations in the data. The efficiency of the estimates is assessed in a simulation study. Data from a study on diabetic retinopathy are analyzed to illustrate the methodology.
机译：双眼数据通常出现在眼科中，在眼科中，通过某些诊断程序评估是否存在某些疾病或病理。将眼睛视为独立眼睛并采用通常的方法来估计诊断测试的敏感性和特异性，却忽略了另一只眼睛之间的相关性。因此，这可能会产生不正确的估计，尤其是标准误差。该论文涉及诊断研究，其中进行了几种诊断测试或由数名读者阅读的同一测试，以识别一种或多种疾病。提出了一种通过层次化广义线性混合模型估算疾病特异性敏感性和特异性的基于似然性的方法，以有意义地描绘数据中的各种相关性。在模拟研究中评估估计的效率。分析来自糖尿病性视网膜病的研究数据以说明该方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号