Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package
View Researcher's Other CodesDisclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).
Authors | Alessio Crippa, Nicola Orsini |
Journal/Conference Name | Journal of Statistical Software, Code Snippets |
Paper Category | Other |
Paper 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. |
Date of publication | 2016 |
Code Programming Language | R |
Comment |