5.8. Concluding Remarks
We conclude this chapter with some comments about missing values in repeated measures. One of the very frequent problems in conducting repeated measures experiments is the failure to follow the subject at all time points. As a result, many repeated measures data sets are not balanced. This further complicates the problem in two ways. First, the standard multivariate methods may no longer be applicable. Second, most computer packages including SAS do not deal with missing values in the multivariate data; for example, SAS ignores all the observations on a particular subject if it finds a missing value for any of the dependent variables in the MODEL statement. This not only reduces the sample size substantially but may also ...
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