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Topic:
Why Mixed-Effects Models
Mean Individual Exposure Versus Typical-Subject Exposure
Informative Sampling and Biased Pooled Means
How Unequal Sampling Weights Subjects Unequally
Effective Sample Size Under Within-Subject Correlation
Dropout Changes the Composition of the Observed Population Mean
Conditions Under Which Pooling Is Defensible
Choosing the Unit of Analysis in Repeated-Measures PK Data
A Simulation Demonstration of Naive Pooling Failure
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