Optimal Adaptive Designs for Binary Response Trials
- 1 September 2001
- journal article
- research article
- Published by Oxford University Press (OUP) in Biometrics
- Vol. 57 (3) , 909-913
- https://doi.org/10.1111/j.0006-341x.2001.00909.x
Abstract
Summary. We derive the optimal allocation between two treatments in a clinical trial based on the following optimality criterion: for fixed variance of the test statistic, what allocation minimizes the expected number of treatment failures? A sequential design is described that leads asymptotically to the optimal allocation and is compared with the randomized play‐the‐winner rule, sequential Neyman allocation, and equal allocation at similar power levels. We find that the sequential procedure generally results in fewer treatment failures than the other procedures, particularly when the success probabilities of treatments are smaller.Keywords
This publication has 8 references indexed in Scilit:
- An adaptive randomized design with application to estimationThe Canadian Journal of Statistics / La Revue Canadienne de Statistique, 2001
- Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two FailuresThe American Statistician, 2000
- A COMPARISON OF URN DESIGNS FOR RANDOMIZED CLINICAL TRIALS OF K > 2 TREATMENTSJournal of Biopharmaceutical Statistics, 2000
- Variability in Adaptive Designs for Estimation of Success ProbabilitiesPublished by Institute of Mathematical Statistics ,1998
- Asymptotic normality of maximum likelihood estimators from multiparameter response-driven designsJournal of Statistical Planning and Inference, 1997
- A Reevaluation of the Role of Crystalloid Preload in the Prevention of Hypotension Associated with Spinal Anesthesia for Elective Cesarean SectionAnesthesiology, 1993
- Optimum Experimental DesignsPublished by Oxford University Press (OUP) ,1992
- The Randomized Play-the-Winner Rule in Medical TrialsJournal of the American Statistical Association, 1978