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Bayesian Adaptive Methods for Clinical Trials
Abstract
Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adapti
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Cited by
Using Bayes to get the most out of non-significant results
Dienes, Z. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00781 · Cited by 1,998
Chlamydia, gonorrhoea, trichomoniasis and syphilis: global prevalence and incidence estimates, 2016
Rowley, J., Vander Hoorn, S., Korenromp, E., Low, N., Unemo, M., Abu-Raddad, L. J., Chico, R. M., Smolak, A., Newman, L., Gottlieb, S., et al. (2019) · Bulletin of the World Health Organization · doi:10.2471/blt.18.228486 · Cited by 1,665
Newman, L., Rowley, J., Vander Hoorn, S., Wijesooriya, N. S., Unemo, M., Low, N., Stevens, G., Gottlieb, S., Kiarie, J., & Temmerman, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0143304 · Cited by 1,603
Kruschke, J. K., & Liddell, T. M. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1221-4 · Cited by 1,288
Adaptive designs in clinical trials: why use them, and how to run and report them
Pallmann, P., Bedding, A. W., Choodari-Oskooei, B., Dimairo, M., Flight, L., Hampson, L. V., Holmes, J., Mander, A. P., Odondi, L., Sydes, M. R., et al. (2018) · BMC Medicine · doi:10.1186/s12916-018-1017-7 · Cited by 829
Metadata
- Authors
- Berry, S. M., Carlin, B. P., Lee, J. J., & Muller, P.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2010-07-19
- OpenAlex
- W651652324
- Cited by
- 504
- References
- 0
- FWCI
- 9.63
- Type
- book
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
