Although measures such as sensitivity and specificity are used in the study of diagnostic test accuracy, these are not appropriate for integrating heterogeneous studies. Therefore, it is essential to assess in detail all related aspects prior to integrating a set of studies so that the correct model can then be selected. This work describes the scheme employed for making decisions regarding the use of the R, STATA and SAS statistical programs. We used the R Program Meta-Analysis of Diagnostic Accuracy package for determining the correlation between sensitivity and specificity. This package considers fixed, random and mixed effects models and provides excellent summaries and assesses heterogeneity. For selecting various cutoff points in the meta-analysis, we used the STATA module for meta-analytical integration of diagnostic test accuracy studies, which produces bivariate outputs for heterogeneity.

中文翻译：

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低流行性疾病诊断测试的荟萃分析教程：贝叶斯模型和软件

尽管在诊断测试准确性的研究中使用了诸如敏感性和特异性之类的措施，但这些措施不适用于整合异类研究。因此，在整合一组研究之前必须详细评估所有相关方面，以便可以选择正确的模型。这项工作描述了用于制定有关R，STATA和SAS统计程序使用决策的方案。我们使用了诊断准确性的R程序元分析软件包来确定敏感性和特异性之间的相关性。该软件包考虑了固定，随机和混合效应模型，并提供了出色的总结并评估了异质性。为了在荟萃分析中选择各种临界点，我们将STATA模块用于诊断测试准确性研究的荟萃分析整合，