Precision Loss for Repeated Measurement Designs due to Subject Dropout: A Design Selection Guidance
by Shi Zhao.
Crossover designs are examined under the situation that subjects may drop out before completing the treatment sequences.A design class, called Uniformly Balanced Repeated Measurement Designs Balanced for Loss are introduced. We calculate the precision loss for uniformly balanced crossover designs under different model assumptions, i.e., fixed subject effects, random subject effects and autoregressive variance structure of random errors. They are considered to serve as design selection guidance for experimenters.
Repeated measurement design, Crossover study, Latin square, Subject dropout, Precision loss
Shi Zhao, firstname.lastname@example.org
Weiming Ke, Weiming.Ke@sdstate.edu
NOTE: This article was revised on September 24, 2010.
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