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An Approach to the Analysis of Repeated Measurements
Peter J. Diggle
Vol. 44, No. 4 (Dec., 1988), pp. 959-971
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2531727
Page Count: 13
You can always find the topics here!Topics: Covariance, Parametric models, Biometrics, Statistics, Least squares, Standard error, Statistical variance, Correlations, Mathematical sequences, Maximum likelihood estimation
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A linear model for repeated measurements is proposed in which the correlation structure within each time sequence of measurements includes parameters for measurement error, variation between experimental units, and serial correlation within units. An approach to data analysis is presented which involves preliminary analysis by ordinary least squares, use of the empirical semi-variogram of residuals to suggest a suitable correlation structure, and formal inference using likelihood-based methods. Applications to two biological data sets are described.
Biometrics © 1988 International Biometric Society