Title: Analysis of longitudinal data.
Authors: Diggle, Peter; Diggle, Peter.
Publisher: Oxford University Press,
Year: 2002
Subjects: Biological Science Disciplines; Multivariate analysis; Time-series analysis; Longitudinal method; Life sciences Statistical methods.; Multivariate Analysis
Abstract: "The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and models and methods for handling data and missing values."--OUP.
Contents: Introduction -- Design considerations -- Exploring longitudinal data -- General linear models for longitudinal data -- Parametric models for covariance structure -- Analysis of variance methods -- Generalized linear models for longitudinal data -- Marginal models -- Random effects models -- Transition models -- Likelihood-based methods for categorical data -- Time-dependent covariates -- Missing values in longitudinal data -- Additional topics.