title: Multivariate meta-analysis: a method to summarize non-linear associations.
abstract: Multivariate meta-analysis represents a promising statistical tool in several research areas. Here, we provide a brief overview of the application of this methodology to combining complex multi-parameterized relationships, such as non-linear or delayed associations, in multi-site studies. The discussion focuses on the advantages over simpler univariate methods, estimation and computational issues and directions for further research.
authors.affiliation: Social and Environmental Health Research Department, London School of Hygiene and Tropical Medicine, U.K.. antonio.gasparrini@lshtm.ac.uk.
authors.forename: A
authors.initials: A
authors.lastname: Gasparrini
authors.forename: B
authors.initials: B
authors.lastname: Armstrong
mesh_terms: D006801:Humans; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D015999:Multivariate Analysis
keywords: exposure-response; multivariate meta-analysis; non-linear