Dynamic Mixed Models for Familial Longitudinal Data

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 accommoda...

Full description

Bibliographic Details
Main Author: Sutradhar, Brajendra C. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2011.
Series:Springer Series in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
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.