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Multivariate Continuous Data

  • Dario Basso
  • Fortunato Pesarin
  • Luigi Salmaso
  • Aldo Solari
Chapter
Part of the Lecture Notes in Statistics book series (LNS, volume 194)

Most clinical trials are conducted to compare a treatment group with a control group on multiple endpoints. A classic example is chronic obstructive pulmonary disease (COPD), where there are a number of different types of potential endpoints (Pocock et al., 1987). Lung function tests are usually considered as key endpoints in COPD trials. However there are a large number of alternative lung function measurements that are believed to indicate efficacy in COPD (e.g. peak expiratory flow rate, forced expiratory volume, forced vital capacity, etc.). It therefore seems logical to consider multivariate approaches when assessing if the treatment improves the respiratory function compared with the control.

Keywords

Chronic Obstructive Pulmonary Disease Ordinary Little Square Generalize Little Square Multivariate Normal Distribution Rejection Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  • Dario Basso
    • 1
  • Fortunato Pesarin
    • 2
  • Luigi Salmaso
    • 1
  • Aldo Solari
    • 2
  1. 1.Università di PadovaDipto. Tecnica e Gestione dei Sistemi IndustrialiItaly
  2. 2.Università PadovaDipto. Scienze StatistichePadovaItaly

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