In this chapter we consider mixed models approaches to analysing repeated measures data. An introduction to repeated measures data and its analysis is given in Section 6.1. In Section 6.2 covariance pattern models are described and two worked examples follow in Sections 6.3 and 6.4. Random coefficients models are described in Section 6.5, which is followed by a worked example in Section 6.6. Methods for sample size estimation are introduced in Section 6.7. In this chapter we will just be considering simple designs where the repeated measures are defined on a single time scale. Occasionally, designs have a more complex pattern of repeated measurements; for example, repeated measurements may be taken within each of several visits. This design will be considered in Section 8.1.
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