Modeling Longitudinal Data

• Main Author: Weiss, Robert E. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2005.
• Series: Springer Texts in Statistics,
• Subjects: Medicine.; Science.; Epidemiology.; Statistics.; Medicine & Public Health.; Science, general.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistical Theory and Methods.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Statistics for Business/Economics/Mathematical Finance/Insurance.

Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed. This book teaches the art and statistical science of modern longitudinal data analysis. The aut...

Table of Contents:

• to Longitudinal Data
• Plots
• Simple Analyses
• Critiques of Simple Analyses
• The Multivariate Normal Linear Model
• Tools and Concepts
• Specifying Covariates
• Modeling the Covariance Matrix
• Random Effects Models
• Residuals and Case Diagnostics
• Discrete Longitudinal Data
• Missing Data
• Analyzing Two Longitudinal Variables
• Further Reading.