Analysis of Multiple Discrete Responses

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

Abstract

In Chapter 10 we introduced some contemporary approaches to analyzing longitudinal data for which the responses are continuous measurements. In fact, most people imply continuous responses when they refer to longitudinal data. The analysis of discrete longitudinal data is a relatively new, though active, subject. Readers who are interested in methodological developments may find many unanswered questions in this chapter. The purpose of this chapter is to shed some light on this growing subject. In the statistical literature, the topic may be tagged with clustered or correlated discrete/binary outcomes. So far, most progress has been made toward the binary outcomes; hence, therein lies the focus of this chapter.

Keywords

Generalize Estimate Equation Terminal Node Gini Index Binary Response Frailty Model 
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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