Modern adaptive randomized clinical trials : statistical and practical aspects / [edited by] Oleksandr Sverdlov.
Material type: TextSeries: Chapman & Hall/CRC biostatistics seriesPublication details: Boca Raton : CRC Press, c2016.Description: xvii, 514 p. : illustrations, 24 cmISBN:- 9781482239881 (hardcover : alk. paper)
- 000SB:615.58 23 Sv968
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000SB:615.50724 B215 Inference based on surrogate endpoints in clinical trials with binary responses / | 000SB:615.50724 At875 Randomised response-adaptive designs in clinical trials / | 000SB:615.50724 At875 Randomised response-adaptive designs in clinical trials / | 000SB:615.58 Sv968 Modern adaptive randomized clinical trials : | 000SB:615.704 G441 Statistical methods for drug safety / | 000SB:615 B942 Statistics in the pharmaceutical industry | 000SB:615 B942 Statistics in the pharmaceutical industry |
Includes bibliographical references and index.
1. An overview of adaptive randomization designs in clinical trials / Oleksandr Sverdlov --
2. Efron's biased coin design revisited : statistical properties randomization-based inference and sequential monitoring / Victoria Plamadeala --
3. Adaptive biased coins : achieving better balance without compromising randomness / Alessandro Baldi Antognini and Maroussa Zagoraiou --
4. Brick tunnel and wide brick tunnel randomization for studies with unequal allocation / Olga M. Kuznetsova and Yevgen Tymofyeyev --
5. Development of novel covariate-adaptive randomization designs / Wenle Zhao --
6. Optimal model-based covariate-adaptive randomization designs / Anthony Atkinson --
7. Statistical inference following covariate-adaptive randomization : recent advances / D. Stephen Coad --
8. Covariate-adaptive randomization with unequal allocation / Olga M. Kuznetsova and Yevgen Tymofyeyev --
9. Optimal allocation designs for a multi-arm multi-objective clinical trial / David Azriel --
10. Response-adaptive randomization : an overview of designs and asymptotic theory / Li-Xin Zhang --
11. Statistical inference following response-adaptive randomization / Yanqing Yi and Xikui Wang --
12. Sample size re-estimation in adaptively randomized clinical trials with missing data / Ruitao Lin and Guosheng Yin --
13. Some caveats for outcome adaptive randomization in clinical trials / Peter F. Thall, Patricia S. Fox, and J. Kyle Wathen --
14. Ecient and ethical adaptive clinical trial designs to detect treatment-covariate interaction / Seung Won Hyun, Tao Huang, and Hongjian Zhu --
15. Longitudinal covariate-adjusted response/adaptive randomization : impact of missing data / Tao Huang and Hongjian Zhu --
16. Targeted covariate-adjusted response/adaptive Lasso-based randomized controlled trials / Antoine Chambaz, Mark J. van der Laan and Wenjing Zheng --
17. Covariate-balanced Bayesian adaptive randomization : achieving trade off between inferential and ethical goals in small and moderate size trials / Ying Yuan and Jing Ning --
18. Multi-arm multi-stage designs for clinical trials with treatment selection / James Wason --
19. Sequential elimination in multi-arm selection trials / Christina Yap, Xuejing Lin, and Ying Kuen K. Cheung --
20. Accounting for parameter uncertainty in two-stage designs for phase II dose-response studies / Emma McCallum and Bjorn Bornkamp --
21. A single pivotal adaptive trial in infants with proliferating hemangioma : rationale, design challenges, experience and recommendations / Stephane Heritier, Caroline C. Morgan-Bouniol, Serigne N. Lô, Stephanie Gautier, and Jean Jacques Voisard --
22. Practical implementation of dose-response adaptive trials / Tom Parke and Martin Kimber --
23. Statistical monitoring of data in response-adaptive randomized clinical trials / Paul Gallo.
Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects answers these questions and more. From novel designs to cutting-edge applications, this book presents several new and key developments in adaptive randomization. It also offers a fresh and critical look at a number of already-classical topics. Featuring contributions from statisticians, clinical trialists, and subject-matter experts in academia and the pharmaceutical industry
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