bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data
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DOI：
10.18637/jss.v086.i10
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发表时间：
2018-09
影响因子：
5.8
通讯作者：
P. Verde
中科院分区：
文献类型：
--
作者：
P. Verde
本文介绍了R包bamdit。该包的名称代表“诊断测试数据的贝叶斯荟萃分析”。开发BAMDIT的目的是简化元分析中模型的使用，到目前为止，这些模型需要在贝叶斯元分析方面具有很强的统计专业知识。该软件包实施了一系列创新的统计技术，包括：贝叶斯汇总接收器工作特征曲线、使用先验分布以避免方差和随机效应相关性的边界估计问题、证据冲突分析和模型参数的稳健估计。此外，该软件包附带了几个已发表的荟萃分析例子，可用于这一领域的说明或进一步研究。
In this paper we present the R package bamdit. The name of the package stands for "Bayesian meta-analysis of diagnostic test data". bamdit was developed with the aim of simplifying the use of models in meta-analysis, that up to now have demanded great statistical expertise in Bayesian meta-analysis. The package implements a series of innovative statistical techniques including: the Bayesian summary receiver operating characteristic curve, the use of prior distributions that avoid boundary estimation problems of variances and correlations of random effects, analysis of conflict of evidence and robust estimation of model parameters. In addition, the package comes with several published examples of meta-analysis that can be used for illustration or further research in this area.