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Familial Longitudinal Models for Binary Data

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

Abstract

In the familial longitudinal setup, binary responses along with a set of multidimensional time-dependent covariates are collected from the members of a large number of independent families. For example, in a clinical study, the asthma status of each of the family members of a large number of independent families may be collected every year over a period of four years. Also, the covariates such as gender, age, education level, and life style of the individual member may be collected. In this setup, it is likely that the responses from the members of the same family at a given year will be correlated. This is due to the fact that every member of the family shares certain common family effects which are latent or invisible. Also, the repeated asthma status collected over several years will be longitudinally correlated. It is of interest to take these two types of familial and longitudinal correlations into account and then find the effects of the covariates on the responses.

Keywords

Binary Data Binary Response Good Linear Unbiased Prediction Asymptotic Covariance Matrix Independent Family 
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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