文章基本信息

标题：Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package
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作者：Alessio Crippa ; Nicola Orsini
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2016
卷号：72
期号：1
页码：1-15
语种：English
出版社：University of California, Los Angeles
摘要：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.
关键词：dose-response;meta-analysis;mixed-effects model;dosresmeta;R-package