This text presents and describes methods for analysis of longitudinal data, with a strong emphasis on application of these methods to problems in the biomedical and behavioral sciences. <I>Applied Longitudinal Data Analysis is geared more toward users, and not developers, of statistics. Specific st
Practical Longitudinal Data Analysis
โ Scribed by David Hand, Martin Crowder (auth.)
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Leaves
- 231
- Series
- Chapman & Hall Texts in Statistical Science
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Front Matter....Pages i-x
Introduction....Pages 1-12
Front Matter....Pages 13-13
Multivariate analysis of variance....Pages 15-38
Univariate analysis of variance....Pages 39-53
Regression methods....Pages 55-64
Random effects models....Pages 65-72
Covariance structures....Pages 73-88
Front Matter....Pages 89-89
Continuous non-normal measures: Gaussian estimation....Pages 91-107
Nonlinear models....Pages 109-127
Generalized linear models and maximum quasi-likelihood estimation....Pages 129-144
Binary and categorical measures....Pages 145-159
Front Matter....Pages 161-161
Relationships between methods....Pages 163-169
Back Matter....Pages 171-232
๐ SIMILAR VOLUMES
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, <b>Longitudinal Data Analysis provides a clear, comprehensive,
The most important techniques available for longitudinal data analysis are discussed in this book. The discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalized estimating equations and random coefficient analys
This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitud