首页    期刊浏览 2024年07月22日 星期一
登录注册

文章基本信息

  • 标题:Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package
  • 本地全文:下载
  • 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
国家哲学社会科学文献中心版权所有