The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Optimal Adaptive Designs for Binary Response Trials
Abstract
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.
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Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Statistical Methods for Rates and Proportions.
Everitt, B. S., & Fleiss, J. L. (1981) · Biometrics · doi:10.2307/2530193 · Cited by 8,990
Fundamentals of Clinical Trials
Friedman, L. M., Furberg, C. D., DeMets, D. L., Reboussin, D. M., & Granger, C. B. (2015) · doi:10.1007/978-3-319-18539-2 · Cited by 2,237
Wheeler, R. E., Atkinson, A. C., & Donev, A. N. (1993) · Technometrics · doi:10.2307/1270278 · Cited by 1,447
Group Sequential Methods with Applications to Clinical Trials
Jennison, C., & Turnbull, B. W. (1999) · Chapman & Hall/CRC eBooks · doi:10.1201/9780367805326 · Cited by 1,336
Atkinson, A. C., & Donev, A. N. (1992) · doi:10.1093/oso/9780198522546.001.0001 · Cited by 752
Group Sequential Methods with Applications to Clinical Trials
Kim, K. (2001) · Controlled Clinical Trials · doi:10.1016/s0197-2456(00)00127-6 · Cited by 706
Agresti, A., & Caffo, B. (2000) · The American Statistician · doi:10.1080/00031305.2000.10474560 · Cited by 569
The Randomized Play-the-Winner Rule in Medical Trials
Wei, L. J., & Durham, S. (1978) · Journal of the American Statistical Association · doi:10.1080/01621459.1978.10480109 · Cited by 481
Fundamentals of clinical trials
Sylvester, R. (1982) · Controlled Clinical Trials · doi:10.1016/0197-2456(82)90029-0 · Cited by 191
Cited by
An experimental design for the development of adaptive treatment strategies
Murphy, S. A. (2005) · Statistics in Medicine · doi:10.1002/sim.2022 · Cited by 746
Adaptive design methods in clinical trials–a review
Chow, S.-C., & Chang, M. (2008) · Orphanet Journal of Rare Diseases · doi:10.1186/1750-1172-3-11 · Cited by 482
“Various stopping boundaries based on different boundary functions for controlling an overall type I error rate are available in the literature (see, e.g., Lan and DeMets, 1987; Wang and Tsiatis, 1987; Rosenberger et al., 2001; Jennison and Turnbull, 2000, 2005; Chow and Chang, 2006).”
Metadata
- Authors
- Rosenberger, W. F., Stallard, N., Ivanova, A., Harper, C. N., & Ricks, M. L.
- Venue
- Biometrics
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-09
- Volume
- 57
- Issue
- 3
- Pages
- 909-913
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W1987477151
- Cited by
- 270
- References
- 12
- FWCI
- 4.50
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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