Inferences on Treatment and Carryover Effects in Two-Period Two-Sequence Crossover Designs

Vladimir Geneus, Chunming Li, Sam Weerahandi, Ed Whalen and Ching Ray Yu
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Ed Whalen: Department of Statistics, Florida State University, USA
Ching Ray Yu: Department of Statistics, Pfizer Inc., USA

Current Trends in Biomedical Engineering & Biosciences, 2018, vol. 11, issue 5, 84-90

Abstract: It is well known that, in the absence of 4 sequences or a long washout period, it is not possible for classical methods to separate out the treatment effects and carryover effects of a crossover design involving two treatments. Motivated by self-contradictory, visually clear results from a standard mixed effects model repeated measures (MMRM) type analysis of a 2X2 crossover, we develop a method to take advantage of repeated measures in each period to make inferences on treatments and carryover effects. The proposed model applied to our data rectified the anomaly in our application. Results from a simulation study are also included to demonstrate the advantage of the proposed approach over the regular MMRM approach.

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Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jctbeb:v:11:y:2018:i:5:p:84-90

DOI: 10.19080/CTBEB.2018.11.555821

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