Multivariate network meta-analysis to mitigate the effects of outcome reporting bias.

ABSTRACT: Outcome reporting bias (ORB) is recognized as a threat to the validity of both pairwise and network meta-analysis (NMA). In recent years, multivariate meta-analytic methods have been proposed to reduce the impact of ORB in the pairwise setting. These methods have shown that multivariate meta-analysis can reduce bias and increase efficiency of pooled effect sizes. However, it is unknown whether multivariate NMA (MNMA) can similarly reduce the impact of ORB. Additionally, it is quite challenging to implement MNMA due to the fact that correlation between treatments and outcomes must be modeled; thus, the dimension of the covariance matrix and number of components to estimate grows quickly with the number of treatments and number of outcomes. To determine whether MNMA can reduce the effects of

SUBMITTER: Hwang H 

PROVIDER: S-EPMC7259375 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature