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 | |
| State | Published - Dec 2008 |
| Externally published | Yes |
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Keywords
- Design optimality
- Direct treatment effect
- Interaction model
- Traditional model
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
Cite this
Optimal crossover designs for two treatments in the presence of mixed and self-carryover effects. / Kunert, J.; Stufken, John.
In: Journal of the American Statistical Association, Vol. 103, No. 484, 12.2008, p. 1641-1647.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimal crossover designs for two treatments in the presence of mixed and self-carryover effects
AU - Kunert, J.
AU - Stufken, John
PY - 2008/12
Y1 - 2008/12
N2 - 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.
AB - 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.
KW - Design optimality
KW - Direct treatment effect
KW - Interaction model
KW - Traditional model
UR - http://www.scopus.com/inward/record.url?scp=77958484174&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77958484174&partnerID=8YFLogxK
U2 - 10.1198/016214508000000760
DO - 10.1198/016214508000000760
M3 - Article
AN - SCOPUS:77958484174
VL - 103
SP - 1641
EP - 1647
JO - Journal of the American Statistical Association
JF - Journal of the American Statistical Association
SN - 0162-1459
IS - 484
ER -