A novel evaluation of optimality for randomized controlled trials.
A novel evaluation of optimality for randomized controlled trials.
复制标题
对随机对照试验的最佳评估的新颖评估。
DOI：
10.1080/10543406.2016.1198367
复制
发表时间：
2017
影响因子：
1.1
通讯作者：
Gajewski BJ
中科院分区：
文献类型：
--
作者：
Wick J;Berry SM;Yeh HW;Choi W;Pacheco CM;Daley C;Gajewski BJ
Balanced two-arm designs are more powerful than unbalanced designs and, consequently, Bayesian adaptive designs (BAD) are less powerful. However, when considering other subject- or community-focused design characteristics, fixed two-arm designs can be suboptimal. We use a novel approach to identify the best two-arm study design, taking into consideration both the statistical perspective and the community’s perception. Data Envelopment Analysis (DEA) was used to estimate the relative performance of competing designs in the presence of multiple optimality criteria. The two-arm fixed design has enough deficiencies in subject- and community-specific benefit to make it the least favorable study design.
登录
查看更多内容
影响因子：
2
作者：
Gajewski, Byron J.;Simon, Stephen D.;Carlson, Susan E.
通讯作者：
Carlson, Susan E.
影响因子：
2
作者：
Cai, Chunyan;Liu, Suyu;Yuan, Ying
通讯作者：
Yuan, Ying
影响因子：
4.7
作者：
Redwood, Diana;Lanier, Anne P.;Slattery, Martha L.
通讯作者：
Slattery, Martha L.
影响因子：
2
作者：
Lee, J. Jack;Chu, Caleb T.
通讯作者：
Chu, Caleb T.
影响因子：
1.9
作者：
Inoue, LYT;Thall, PF;Berry, DA
通讯作者：
Berry, DA