Optimal crossover designs for two treatments in the presence of mixed and self-carryover effects

J. Kunert; J. Stufken

doi:10.1198/016214508000000760

Optimal crossover designs for two treatments in the presence of mixed and self-carryover effects

J. Kunert, J. Stufken

Arizona State University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

The main purpose of this article is to identify optimal crossover designs for two treatments under a model that includes mixed and self carryover effects. In addition, results are reported for optimal two-treatment crossover designs under several closely related models, and the performance of various designs for three and four periods is studied under the different models.

Original language	English (US)
Pages (from-to)	1641-1647
Number of pages	7
Journal	Journal of the American Statistical Association
Volume	103
Issue number	484
DOIs	https://doi.org/10.1198/016214508000000760
State	Published - Dec 1 2008

Keywords

Design optimality
Direct treatment effect
Interaction model
Traditional model

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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