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THE USE OF CRITICAL REVIEWS AND META-ANALYSIS OF DIAGNOSTIC TEST EVALUATIONS - ILLUSTRATED BY DIAGNOSTIC TESTS FOR PARATUBERCULOSIS

机译:使用诊断测试评估的关键评论和荟萃分析 - 通过诊断试验说明对副刺激性的诊断测试

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This study presents summary receiver operating characteristics (SROC) analysis as a means to synthesise information from diagnostic test evaluation studies. Using data from a review of diagnostic tests for ante-mortem diagnosis of paratuberculosis, SROC and hierarchical SROC (HSROC) analysis were used to estimate overall diagnostic accuracies of antibody ELISAs for bovine paratuberculosis while accounting for covariates such as the target condition used in the test evaluation. The methods gave comparable results, considering the small sample size and the quality of the data. For both methods, the area under the (H)SROC curve was calculated and the results were similar. The SROC model does not take differences in sample size between study units intoaccount, whereas the HSROC allows for both between and within study variation. While the SROC is easier to implement, analyse and interpret, the HSROC does have properties which might encourage the extra effort involved in the analysis.
机译:本研究介绍了总结接收器操作特征(SROC)分析作为从诊断测试评估研究中合成信息的手段。使用来自审查对伞菌诊断的诊断测试的数据,SROC和分层SROC(HSROC)分析用于估计牛副植物的抗体ELISA的整体诊断精度,同时核算试验中使用的目标条件等协变量评估。该方法提供了可比的结果,考虑到小的样本大小和数据质量。对于这两种方法,计算(H)SROC曲线下的区域,结果相似。 SROC模型在研究单元之间的样本大小陷入困境,而HSROC允许在研究变化之间和内部内部。虽然SROC更容易实施,分析和解释,但HSROC确实有属性可能会鼓励分析中涉及的额外努力。

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