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Chapter 15 Mixed Models - Carnegie Mellon University

Chapter 15 Mixed Models - Carnegie Mellon University

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results on any subject with even a single missing measurement, while mixed mod-els allow other data on such subjects to be used as long as the missing data meets the so-called missing-at-random de nition. Another advantage of mixed models is that they naturally handle uneven spacing of repeated measurements, whether in-tentional or unintentional.

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