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  • 标题:GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares
  • 本地全文:下载
  • 作者:Sarah J. Ratcliffe ; Justine Shults
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2008
  • 卷号:25
  • 期号:1
  • 页码:1-14
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:The GEEQBOX toolbox analyzes correlated data via the method of generalized estimating equations (GEE) and quasi-least squares (QLS), an approach based on GEE that overcomes some limitations of GEE that have been noted in the literature. GEEQBOX is currently able to handle correlated data that follows a normal, Bernoulli or Poisson distribution, and that is assumed to have an AR(1), Markov, tri-diagonal, equicorrelated, unstructured or working independence correlation structure. This toolbox is for use with MATLAB.
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