Meta-regression models to address heterogeneity and inconsistency in network meta-analysis of survival outcomes.

ABSTRACT:

Background

Recently, network meta-analysis of survival data with a multidimensional treatment effect was introduced. With these models the hazard ratio is not assumed to be constant over time, thereby reducing the possibility of violating transitivity in indirect comparisons. However, bias is still present if there are systematic differences in treatment effect modifiers across comparisons.

Methods

In this paper we present multidimensional network meta-analysis models for time-to-event data that are extended with covariates to explain heterogeneity and adjust for confounding bias in the synthesis of evidence networks of randomized controlled trials. The impact of a covariate on the treatment effect can be assumed to be treatment specific or constant for all treatments compar

SUBMITTER: Jansen JP 

PROVIDER: S-EPMC3570315 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature