Graphs of study contributions and covariate distributions for network meta-regression.

ABSTRACT:

Background

Meta-regression results must be interpreted taking into account the range of covariate values of the contributing studies. Results based on interpolation or extrapolation may be unreliable. In network meta-regression (NMR) models, which include covariates in network meta-analyses, results are estimated using direct and indirect evidence; therefore, it may be unclear which studies and covariate values contribute to which result. We propose graphs to help understand which trials and covariate values contribute to each NMR result and to highlight extrapolation or interpolation.

Methods

We introduce methods to calculate the contribution that each trial and covariate value makes to each result and compare them with existing methods. We show how to construct graphs incl

SUBMITTER: Donegan S 

PROVIDER: S-EPMC6001528 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature