网络Meta分析研究进展系列(四):贝叶斯层次网络Meta分析

Advances in methodology of network meta-analysis(4):Bayesian Hierarchical Network Meta-Analysismodel

本文介绍含类水平及剂量约束条件的贝叶斯层次网络Meta分析,该分析模型可以解释同一类干预措施间的可交换性以及研究间的残余异质性,通过借力提高含类水平及剂量的干预措施估计的精度及其排序的合理性。

This paper introduces a Bayesian hierarchical network meta-analysis model with class effect and constraints on increasing doses,which accounts for the exchangeability between treatments within the sameclass as well as for the residual between-study heterogeneity.Bayesian hierarchical NMAs have the potential to increase the precision in the treatment effect and estimate the rank of the intervention with dose by borrowing strength.