Linear regression analysis with repeated measurements.

The statistical aspects of repeated measures linear regression, in which each subject contributes several pairs of measurements to the analysis, are discussed. It is shown that the standard error of a regression coefficient computed from the ordinary least squares analysis can either underestimate or overestimate the true standard error, depending on how values of the independent variable are selected. The application of generalized least squares analysis to repeated measures data is also discussed. Two examples are given.