Published in

Wiley, Statistics in Medicine, 20(30), p. 2504-2506, 2011

DOI: 10.1002/sim.4226

Links

Tools

Export citation

Search in Google Scholar

Multivariate meta-analysis: a method to summarize non-linear associations

Journal article published in 2011 by Antonio Gasparrini ORCID, Ben Armstrong
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

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.