Explains methods of accounting for correlations in the data from the repeated observation of subjects over a long period. For graduate students of biostatistics, statistics, or other disciplines that collect longitudinal data. Assumes a first-year graduate knowledge of statistical theory and methods, particularly the matrix approach to regression analysis, but no familiarity with state space methodology. Includes some FORTRAN subroutines. Annotation copyright by Book News, Inc., Portland, OR