Modelling series of studies with a common structure

Manuela M. Oliveira, João T. Mexia

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Consider the situation where the Structuration des Tableaux à Trois Indices de la Statistique (STATIS) methodology is applied to a series of studies, each study being represented by data and weight matrices. Relations between studies may be captured by the Hilbert-Schmidt product of these matrices. Specifically, the eigenvalues and eigenvectors of the Hilbert-Schmidt matrix S may be used to obtain a geometrical representation of the studies. The studies in a series may further be considered to have a common structure whenever their corresponding points lie along the first axis. The matrix S can be expressed as the sum of a rank 1 matrix λ uuT with an error matrix E. Therefore, the components of the vector sqrt(λ) u are sufficient to locate the points associated to the studies. Former models for S where vec (E) are mathematically tractable and yet do not take into account the symmetry of the matrix S. Thus a new symmetric model is proposed as well as the corresponding tests for a common structure. It is further shown how to assess the goodness of fit of such models. An application to the human immunodeficiency virus (HIV) infection is used for assessing the proposed model.

Original languageEnglish
Pages (from-to)5876-5885
Number of pages10
JournalComputational Statistics & Data Analysis
Issue number12
Publication statusPublished - 15 Aug 2007


  • AIDS
  • F tests
  • Hilbert-Schmidt product
  • HIV
  • STATIS method


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