Repeated Measures and Longitudinal Data Analysis

  • Eric Vittinghoff
  • David V. Glidden
  • Stephen C. Shiboski
  • Charles E. McCulloch
Chapter
Part of the Statistics for Biology and Health book series (SBH)

Abstract

Knee radiographs are taken yearly in order to understand the onset of osteoarthritis. Troponin (which is an indicator of heart damage) is measured from blood samples 1, 3, and 6 days following a brain hemorrhage. Groups of patients in a urinary incontinence trial are assembled from different treatment centers. Susceptibility to tuberculosis is measured in family members. All of these are examples of what is called repeated measures data or hierarchical or clustered data. Such data structures are quite common in medical research and a multitude of other fields.

Keywords

Placebo Sugar Osteoporosis Covariance Tuberculosis 

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Eric Vittinghoff
    • 1
  • David V. Glidden
    • 1
  • Stephen C. Shiboski
    • 1
  • Charles E. McCulloch
    • 2
  1. 1.Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoUSA
  2. 2.Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoUSA

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