![]() I will break this paper up into two papers because there are a number of designs and design issues to consider. At the same time they are more complex and the syntax for software analysis is not always easy to set up. Mixed models have begun to play an important role in statistical analysis and offer many advantages over more traditional analyses. ![]() When we have a design in which we have both random and fixed variables, we have what is often called a mixed model. Mixed models for repeated measures-part 1 Mixed Models for Missing Data
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