Transcription of Chapter 15 Mixed Models - Carnegie Mellon University
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Chapter 15 Mixed Models - Carnegie Mellon University
Chapter 15 Mixed ModelsA flexible approach to correlated OverviewCorrelated data arise frequently in statistical analyses. This may be due to group-ing of subjects, , students within classrooms, or to repeated measurements oneach subject over time or space, or to multiple related outcome measures at onepoint in time. Mixed model analysis provides a general, flexible approach in thesesituations, because it allows a wide variety of correlation patterns (or variance-covariance structures) to be explicitly mentioned in Chapter 14, multiple measurements per subject generally resultin the correlated errors that are explicitly forbidden by the assumptions of standard(between-subjects) AN(C)OVA and regression Models .
Chapter 15 Mixed Models A exible approach to correlated data. 15.1 Overview Correlated data arise frequently in statistical analyses. This may be due to group-ing of subjects, e.g., students within classrooms, or to repeated measurements on each subject over time or space, or to multiple related outcome measures at one point in time.
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