Longitudinal Categorical Data Analysis
This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more th...
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| Language: | English |
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New York, NY :
Springer New York : Imprint: Springer,
2014.
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| Edition: | 1st ed. 2014. |
| Series: | Springer Series in Statistics,
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| Online Access: | https://doi.org/10.1007/978-1-4939-2137-9 |
Table of Contents:
- Introduction
- Overview of Regression Models for Cross-sectional Univariate Categorical Data
- Regression Models for Univariate Longitudinal Stationary Categorical Data
- Regression Models for Univariate Longitudinal Non-stationary Categorical Data
- Multinomial Models for Cross-sectional Bivariate Categorical Data
- Multinomial Models for Longitudinal Bivariate Categorical Data
- Index.