Bayesian Adaptive Randomization and Trial Monitoring with Predictive Probability for Time-to-Event Endpoint
Author
Abstract
Suggested Citation
DOI: 10.1007/s12561-017-9199-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Yi Cheng & Donald A. Berry, 2007. "Optimal adaptive randomized designs for clinical trials," Biometrika, Biometrika Trust, vol. 94(3), pages 673-689.
- Ying Yuan & Guosheng Yin, 2009. "Bayesian dose finding by jointly modelling toxicity and efficacy as time‐to‐event outcomes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(5), pages 719-736, December.
- Guosheng Yin & Nan Chen & J. Jack Lee, 2012. "Phase II trial design with Bayesian adaptive randomization and predictive probability," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(2), pages 219-235, March.
- Lanju Zhang & William F. Rosenberger, 2007. "Response‐adaptive randomization for survival trials: the parametric approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(2), pages 153-165, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Valeria Sambucini, 2021. "Bayesian Sequential Monitoring of Single-Arm Trials: A Comparison of Futility Rules Based on Binary Data," IJERPH, MDPI, vol. 18(16), pages 1-17, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Williamson, S. Faye & Jacko, Peter & Jaki, Thomas, 2022. "Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
- James E. Barrett, 2016. "Information-adaptive clinical trials: a selective recruitment design," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(5), pages 797-808, November.
- Thomas A. Murray & Peter F. Thall & Ying Yuan & Sarah McAvoy & Daniel R. Gomez, 2017. "Robust Treatment Comparison Based on Utilities of Semi-Competing Risks in Non-Small-Cell Lung Cancer," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(517), pages 11-23, January.
- Beibei Guo & Ying Yuan, 2023. "DROID: dose‐ranging approach to optimizing dose in oncology drug development," Biometrics, The International Biometric Society, vol. 79(4), pages 2907-2919, December.
- Patricia Gilholm & Kerrie Mengersen & Helen Thompson, 2020. "Identifying latent subgroups of children with developmental delay using Bayesian sequential updating and Dirichlet process mixture modelling," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-17, June.
- Yanqing Yi & Yuan Yuan, 2013. "An optimal allocation for response-adaptive designs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(9), pages 1996-2008, September.
- Yan‐Cheng Chao & Thomas M. Braun & Roy N. Tamura & Kelley M. Kidwell, 2020. "A Bayesian group sequential small n sequential multiple‐assignment randomized trial," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(3), pages 663-680, June.
- Peter F. Thall & Aniko Szabo & Hoang Q. Nguyen & Catherine M. Amlie-Lefond & Osama O. Zaidat, 2011. "Optimizing the Concentration and Bolus of a Drug Delivered by Continuous Infusion," Biometrics, The International Biometric Society, vol. 67(4), pages 1638-1646, December.
- Atkinson, Anthony C. & Biswas, Atanu, 2017. "Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses," LSE Research Online Documents on Economics 66761, London School of Economics and Political Science, LSE Library.
- Sambucini, Valeria, 2019. "Bayesian predictive monitoring with bivariate binary outcomes in phase II clinical trials," Computational Statistics & Data Analysis, Elsevier, vol. 132(C), pages 18-30.
- Alessandra Giovagnoli, 2021. "The Bayesian Design of Adaptive Clinical Trials," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
- Laura Deldossi & Silvia Angela Osmetti & Chiara Tommasi, 2019. "Optimal design to discriminate between rival copula models for a bivariate binary response," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 147-165, March.
- Beibei Guo & Ying Yuan, 2017. "Bayesian Phase I/II Biomarker-Based Dose Finding for Precision Medicine With Molecularly Targeted Agents," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 508-520, April.
- Yuan Ji & B. Nebiyou Bekele, 2009. "Adaptive Randomization for Multiarm Comparative Clinical Trials Based on Joint Efficacy/Toxicity Outcomes," Biometrics, The International Biometric Society, vol. 65(3), pages 876-884, September.
- Waverly Wei & Xinwei Ma & Jingshen Wang, 2023. "Fair Adaptive Experiments," Papers 2310.16290, arXiv.org.
- Tolusso, David & Wang, Xikui, 2011. "Interval estimation for response adaptive clinical trials," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 725-730, January.
- José L. Jiménez & Mourad Tighiouart, 2022. "Combining cytotoxic agents with continuous dose levels in seamless phase I‐II clinical trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1996-2013, November.
- Vishal Ahuja & John R. Birge, 2020. "An Approximation Approach for Response-Adaptive Clinical Trial Design," INFORMS Journal on Computing, INFORMS, vol. 32(4), pages 877-894, October.
- Basu, Anirban, 2011.
"Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care,"
Journal of Health Economics, Elsevier, vol. 30(3), pages 549-559, May.
- Anirban Basu, 2011. "Economics of Individualization in Comparative Effectiveness Research and a Basis for a Patient-Centered Health Care," NBER Working Papers 16900, National Bureau of Economic Research, Inc.
- Atkinson, Anthony C. & Biswas, Atanu, 2017. "Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 297-310.
More about this item
Keywords
Bayesian adaptive design; Clinical trial; Power; Randomization; Survival data; Type I error; Type II error;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:stabio:v:10:y:2018:i:2:d:10.1007_s12561-017-9199-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.