ABSTRACT

Clinical trials often assess subjects repeatedly over time. Correlations between repeated measurements within the same subjects often arise from between-subject variability and adjacency in time or location of evaluations. Therefore, independence of observations cannot be assumed in longitudinal trials. Failure to properly account for the association between observations can result in biased point estimates and standard errors that do not properly reflect the uncertainty in the data.