Abstract
In a response-adaptive design, we review and update the trial on the basis of outcomes in order to achieve a specific goal. Response-adaptive designs for clinical trials are usually constructed to achieve a single objective. In this paper, we develop a new adaptive allocation rule to improve current strategies for building response-adaptive designs to construct multiple-objective repeated measurement designs. This new rule is designed to increase estimation precision and treatment benefit by assigning more patients to a better treatment sequence. We demonstrate that designs constructed under the new proposed allocation rule can be nearly as efficient as fixed optimal designs in terms of the mean squared error, while leading to improved patient care.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1134-1145 |
| Number of pages | 12 |
| Journal | Journal of Statistical Planning and Inference |
| Volume | 139 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 1 2009 |
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Keywords
- Evaluation function
- Mean squared error (MSE)
- Multiple-objective design
- Optimality criteria
- Repeated measurement design (RMD)
- Response-adaptive design (RAD)
- Self and mixed carryover effects model
ASJC Scopus subject areas
- Statistics, Probability and Uncertainty
- Applied Mathematics
- Statistics and Probability
Cite this
Multiple-objective response-adaptive repeated measurement designs for clinical trials. / Liang, Yuanyuan; Carrière, Keumhee Chough.
In: Journal of Statistical Planning and Inference, Vol. 139, No. 3, 01.03.2009, p. 1134-1145.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multiple-objective response-adaptive repeated measurement designs for clinical trials
AU - Liang, Yuanyuan
AU - Carrière, Keumhee Chough
PY - 2009/3/1
Y1 - 2009/3/1
N2 - In a response-adaptive design, we review and update the trial on the basis of outcomes in order to achieve a specific goal. Response-adaptive designs for clinical trials are usually constructed to achieve a single objective. In this paper, we develop a new adaptive allocation rule to improve current strategies for building response-adaptive designs to construct multiple-objective repeated measurement designs. This new rule is designed to increase estimation precision and treatment benefit by assigning more patients to a better treatment sequence. We demonstrate that designs constructed under the new proposed allocation rule can be nearly as efficient as fixed optimal designs in terms of the mean squared error, while leading to improved patient care.
AB - In a response-adaptive design, we review and update the trial on the basis of outcomes in order to achieve a specific goal. Response-adaptive designs for clinical trials are usually constructed to achieve a single objective. In this paper, we develop a new adaptive allocation rule to improve current strategies for building response-adaptive designs to construct multiple-objective repeated measurement designs. This new rule is designed to increase estimation precision and treatment benefit by assigning more patients to a better treatment sequence. We demonstrate that designs constructed under the new proposed allocation rule can be nearly as efficient as fixed optimal designs in terms of the mean squared error, while leading to improved patient care.
KW - Evaluation function
KW - Mean squared error (MSE)
KW - Multiple-objective design
KW - Optimality criteria
KW - Repeated measurement design (RMD)
KW - Response-adaptive design (RAD)
KW - Self and mixed carryover effects model
UR - http://www.scopus.com/inward/record.url?scp=57049122931&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57049122931&partnerID=8YFLogxK
U2 - 10.1016/j.jspi.2008.07.003
DO - 10.1016/j.jspi.2008.07.003
M3 - Article
AN - SCOPUS:57049122931
VL - 139
SP - 1134
EP - 1145
JO - Journal of Statistical Planning and Inference
JF - Journal of Statistical Planning and Inference
SN - 0378-3758
IS - 3
ER -