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  • 标题:Derived variables for longitudinal studies
  • 本地全文:下载
  • 作者:D. R. Cox ; Nanny Wermuth
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:1999
  • 卷号:96
  • 期号:22
  • 页码:12273-12274
  • DOI:10.1073/pnas.96.22.12273
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Suppose that for each individual a vector of features is measured at a number of time points. We look for a transformation of the features, the same at all time points, that will induce a simple dependency structure. In the simplest situation this requires that a certain asymmetric matrix has real nonzero eigenvalues. Extensions are considered.
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