Longitudinal Data with Serial Correlation: A State-Space Approach, Second Edition provides comprehensive coverage of methodology for analysis, from simple experiments with missing data to complicated time response curves for groups of subjects. This second edition has been fully updated with additional information on multivariate response models, where state-space models are most useful. Maintaining its concise and accessible approach, the text includes new topics such as nonparametric regression, EM algorithm, power and sample size, and much more. It also features numerous worked examples to illustrate the methods described as well as R software support for these examples.