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The Analysis of Longitudinal Data

  • Brian Everitt
  • Sophia Rabe-Hesketh
Part of the Statistics for Biology and Health book series (SBH)

Abstract

Studies in which patients are observed on several occasions over a period of time are particularly common in medical research. Most clinical trials, for example, are of this format. The characteristic feature of such studies is that multiple measurements of a response variable are obtained at a set of time points for each participant in the study. There are two main difficulties in the analysis of data from such longitudinal studies:
  • The analysis is complicated by the dependence among repeated observations made on the same experimental unit.

  • There may be a substantial proportion of missing values due to participants not attending at all scheduled visits or perhaps dropping out of the study altogether.

Keywords

Longitudinal Data Change Score Depression Score Summary Measure Graphical Display 
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 Science+Business Media New York 2001

Authors and Affiliations

  • Brian Everitt
    • 1
  • Sophia Rabe-Hesketh
    • 1
  1. 1.Biostatistics and Computing DepartmentInstitute of PsychiatryLondonUK

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