Model selection for component network meta-analysis in connected and disconnected networks: a simulation study.

ABSTRACT:

Background

Network meta-analysis (NMA) allows estimating and ranking the effects of several interventions for a clinical condition. Component network meta-analysis (CNMA) is an extension of NMA which considers the individual components of multicomponent interventions. CNMA allows to "reconnect" a disconnected network with common components in subnetworks. An additive CNMA assumes that component effects are additive. This assumption can be relaxed by including interaction terms in the CNMA.

Methods

We evaluate a forward model selection strategy for component network meta-analysis to relax the additivity assumption that can be used in connected or disconnected networks. In addition, we describe a procedure to create disconnected networks in order to evaluate the properties of

SUBMITTER: Petropoulou M 

PROVIDER: S-EPMC10268445 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature