论文标题
MVPBT：R套件的R包，用于诊断准确性研究的荟萃分析中
MVPBT: R package for publication bias tests in meta-analysis of diagnostic accuracy studies
论文作者
论文摘要
用于诊断测试准确性（DTA）的荟萃分析已成为综合诊断研究证据的标准研究方法。在DTA荟萃分析中，尽管出版偏见是偏见的重要来源，但尚未开发出与单变量荟萃分析中类似于EGGER检验的某些方法来检测这种偏见。但是，最近的一些研究已经在多元荟萃分析的框架中讨论了这些方法，并开发了一些广义的EGGER检验。开发了R软件包MVPBT（https://cran.r-project.org/web/packages/mvpbt/），以实现由Noma（2020; 2020; Biometrics 76，1255-1259）开发的广义EGGER测试，以用于DTA元分析。 Noma的出版偏见测试有效地纳入了多个结果之间的相关信息，并有望改善统计能力。本文提供了使用MVPBT软件包的DTA荟萃分析出版偏置测试数据分析的非技术介绍和实践示例。
Meta-analysis for diagnostic test accuracy (DTA) has been a standard research method for synthesizing evidence from diagnostic studies. In DTA meta-analysis, although publication bias is an important source of bias, no certain methods similar to the Egger test in univariate meta-analysis have been developed to detect such bias. However, several recent studies have discussed these methods in the framework of multivariate meta-analysis, and some generalized Egger tests have been developed. The R package MVPBT (https://cran.r-project.org/web/packages/MVPBT/) was developed to implement the generalized Egger tests developed by Noma (2020; Biometrics 76, 1255-1259) for DTA meta-analysis. Noma's publication bias tests effectively incorporate the correlation information between multiple outcomes and are expected to improve the statistical powers. The present paper provides a nontechnical introduction and practical examples of data analyses of the publication bias tests of DTA meta-analysis using the MVPBT package.
