Analysis of Longitudinal Data

  • Heping Zhang
  • Burton Singer
Part of the Statistics for Biology and Health book series (SBH)

Abstract

In health-related studies, researchers often collect data from the same unit (or subject) repeatedly over time. Measurements may be taken at different times for different subjects. These are called longitudinal studies. Diggle, Liang, and Zeger (1994) offer an excellent exposition of the issues related to the design of such studies and the analysis of longitudinal data. They also provide many interesting examples of data. We refer to their book for a thorough treatment of the topic. The purpose of this chapter is to introduce the methods based on recursive partitioning and to compare the analyses of longitudinal data using different approaches.

Keywords

Covariance Matrix Longitudinal Data Covariance Structure Regression Tree Meal Time 
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 1999

Authors and Affiliations

  • Heping Zhang
    • 1
  • Burton Singer
    • 2
  1. 1.Department of Epidemiology and Public Health School of MedicineYale UniversityNew HavenUSA
  2. 2.Office of Population ResearchPrinceton UniversityPrincetonUSA

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