联营
R包
多元统计
荟萃分析
多元分析
计算机科学
统计
统计分析
计量经济学
数学
医学
内科学
人工智能
作者
Alessio Crippa,Nicola Orsini
标识
DOI:10.18637/jss.v072.c01
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.
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