Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Alessio Crippa, Nicola Orsini
Title: Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package
Abstract: An increasing number of quantitative reviews of epidemiological data includes a doseresponse analysis. Aims of this paper are to describe the main aspects of the methodology and to illustrate the novel R package dosresmeta developed for multivariate dose-response meta-analysis of summarized data. Specific topics covered are reconstructing covariances of correlated outcomes; pooling of study-specific trends; flexible modeling of the exposure; testing hypothesis; assessing statistical heterogeneity; and presenting in either a graphical or tabular way the overall dose-response association.

Page views:: 3441. Submitted: 2013-10-29. Published: 2016-08-16.
Paper: Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package     Download PDF (Downloads: 3122)
dosresmeta_1.3.3.tar.gz: R source package Download (Downloads: 194; 20KB)
v72c01.R: R replication code Download (Downloads: 251; 2KB)

DOI: 10.18637/jss.v072.c01

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.