Applied longitudinal analysis
"Written at a technical level suitable for researchers and graduate students, Applied Longitudinal Analysis provides a description of modern methods for analyzing longitudinal data. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete responses, the authors discuss in detail the relationships among these different models, including their underlying assumptions and relative merits."--Jacket
Medical statistics
xix, 506 pages : illustrations ; 24 cm.
9780471214878, 0471214876
54529183
Longitudinal and clustered data
Longitudinal data: basic concepts
Overview of linear models for longitudinal data
Estimation and statistical inference
Modelling the mean: analyzing response profiles
Modelling the mean: parametric curves
Modelling the covariance
Linear mixed effects models
Residual analyses and diagnostics
Review of generalized linear models
Marginal models: generalized estimating equations (GEE)
Generalized linear mixed effects models
Contrasting marginal and mixed effects models
Missing data and dropout
Some aspects of the design of longitudinal studies
Repeated measures and related designs
Multilevel models