Dynamic mixed models for familial longitudinal data

Dynamic mixed models for familial longitudinal data

by Sutradhar, Brajendra Chandra

Type Book
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This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. --

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Title Statements

  • Full title :Dynamic mixed models for familial longitudinal data / Brajendra C. Sutradhar.

Summary

This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. --

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Edition Statements

  • Publication Date:©2011.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:New York
  • Language:eng
  • Publication Date:©2011.

The Physical Object

  • Description:1 online resource (xviii, 492 pages) : : illustrations

Edition Identifiers

Table of Contents

Introduction -- Overview of Linear Fixed Models for Longitudinal Data -- Overview of Linear Mixed Models for Longitudinal Data -- Familial Models for Count Data -- Familial Models for Binary Data -- Longitudinal Models for Count Data -- Longitudinal Models for Binary Data -- Longitudinal Mixed Models for Count Data -- Longitudinal Mixed Models for Binary Data -- Familial Longitudinal Models for Count Data -- Familial Longitudinal Models for Binary Data.

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