A novel evaluation of optimality for randomized controlled trials.
Balanced two-arm designs are more powerful than unbalanced designs and, consequently, Bayesian adaptive designs (BADs) 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.
a Department of Biostatistics , The University of Kansas Medical Center , Kansas City , Kansas , USA.
Jo
J
Wick
a Department of Biostatistics , The University of Kansas Medical Center , Kansas City , Kansas , USA.|b Berry Consultants , Austin , Texas , USA.
Scott M
SM
Berry
a Department of Biostatistics , The University of Kansas Medical Center , Kansas City , Kansas , USA.|c Center for American Indian Community Health , The University of Kansas Medical Center , Kansas City , Kansas , USA.
Hung-Wen
HW
Yeh
c Center for American Indian Community Health , The University of Kansas Medical Center , Kansas City , Kansas , USA.|d Department of Preventative Medicine and Public Health , The University of Kansas Medical Center , Kansas City , Kansas , USA.
Won
W
Choi
c Center for American Indian Community Health , The University of Kansas Medical Center , Kansas City , Kansas , USA.|e Department of Family Medicine , The University of Kansas Medical Center , Kansas City , Kansas , USA.
Christina M
CM
Pacheco
c Center for American Indian Community Health , The University of Kansas Medical Center , Kansas City , Kansas , USA.|d Department of Preventative Medicine and Public Health , The University of Kansas Medical Center , Kansas City , Kansas , USA.|e Department of Family Medicine , The University of Kansas Medical Center , Kansas City , Kansas , USA.
Christine
C
Daley
a Department of Biostatistics , The University of Kansas Medical Center , Kansas City , Kansas , USA.|c Center for American Indian Community Health , The University of Kansas Medical Center , Kansas City , Kansas , USA.|e Department of Family Medicine , The University of Kansas Medical Center , Kansas City , Kansas , USA.|f School of Nursing , The University of Kansas Medical Center , Kansas City , Kansas , USA.
Byron J
BJ
Gajewski
D001499:Bayes Theorem; D003627:Data Interpretation, Statistical; D006801:Humans; D016032:Randomized Controlled Trials as Topic; D012107:Research Design
Accrual; American Indians; community based participatory research; longitudinal