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Longitudinal Models for Binary Data

  • Brajendra C. SutradharEmail author
Chapter
Part of the Springer Series in Statistics book series (SSS)

Abstract

In Chapter 6, we have discussed the stationary and nonstationary correlation models for count data, and estimated the effects of the covariates on the count responses, by taking the correlation structure into account. In this chapter, we deal with repeated binary responses. For example, there exists a longitudinal study on the health effects of air pollution, where wheezing status (1 = yes, 0 = no) of a large number of independent children are repeatedly recorded, along with maternal smoking status, family cleanliness status, level of chemicals used, and pet-owning status of the family.

Keywords

Correlation Structure Binary Data Correlation Model Binary Response Longitudinal 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, LLC 2011

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsMemorial UniversitySaint John’sCanada

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