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Books on the topic 'Adaptive trial'

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Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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1

He, Weili, José Pinheiro, and Olga M. Kuznetsova, eds. Practical Considerations for Adaptive Trial Design and Implementation. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1100-4.

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2

Yin, Guosheng. Clinical trial design: Bayesian and frequentist adaptive methods. Hoboken, N.J: John Wiley & Sons, 2012.

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3

Chang, Mark. Classical and adaptive clinical trial designs with ExpDesign Studio? Hoboken, N.J: John Wiley, 2008.

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4

Chang, Mark. Introductory adaptive trial designs: A practical guide with R. Boca Raton, Fla: CRC Press, 2015.

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5

Ondra, Thomas. Optimized Response-Adaptive Clinical Trials. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08344-1.

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6

Chin, Richard Y. Adaptive and flexible clinical trials. Boca Raton: CRC Press, 2012.

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7

Manuel, Ulrich. Consultancy reports on various socio-economic aspects concerning the adaptive on-farm trial programme of the collaborative AGRITEX-GTZ project, Conservation Tillage for Sustainable Crop Production Systems. Borrowdale, Harare: Deutsche Gesellschaft für Technische Zusammenarbeit GmbH, 1994.

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8

Chow, Shein-Chung. Adaptive design methods in clinical trials. 2nd ed. Boca Raton: Taylor & Francis, 2012.

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9

Berry, Scott M. Bayesian adaptive methods for clinical trials. Boca Raton: Chapman & Hall/CRC, 2011.

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10

Association, Dude Ranchers'. Horse Safety & Adaptive First Aid for the Trail. USA]: The Association, 2005.

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11

Zacks, Shelemyahu. Stage-wise adaptive designs. Hoboken, N.J: John Wiley & Sons, 2009.

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12

Hu, Feifang. The theory of response-adaptive randomization in clinical trials. Hoboken, NJ: John Wiley & Sons, 2006.

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13

Wassmer, Gernot, and Werner Brannath. Group Sequential and Confirmatory Adaptive Designs in Clinical Trials. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32562-0.

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14

Hu, Feifang, and William F. Rosenberger. The Theory of Response-Adaptive Randomization in Clinical Trials. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/047005588x.

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15

Sverdlov, Oleksandr. Modern adaptive randomized clinical trials: Statistical and practical aspects. Boca Raton: Taylor & Francis, 2015.

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16

Chow, Shein-Chung. Adaptive design methods in clinical trails. Boca Raton, FL: Chapman & Hall/CRC, 2007.

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17

Pong, Annpey. Handbook of adaptive designs in pharmaceutical and clinical development. Boca Raton, FL: CRC Press, 2011.

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18

Pong, Annpey. Handbook of adaptive designs in pharmaceutical and clinical development. Boca Raton, FL: CRC Press, 2011.

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19

Pong, Annpey. Handbook of adaptive designs in pharmaceutical and clinical development. Boca Raton: CRC Press, 2011.

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20

Chang, Mark. Adaptive design theory and implementation using SAS and R. Boca Raton: CRC Press, 2014.

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21

Chang, Mark. Adaptive design theory and implementation using SAS and R. Boca Raton, FL: CRC Press, 2007.

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22

Chang, Mark. Adaptive design theory and implementation using SAS and R. Boca Raton: Taylor & Francis, 2008.

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23

Food and Agriculture Organization of the United Nations. Crop and Grassland Service., ed. Explore on-farm: On-farm trials for adapting and adopting good agricultural practices. Rome: Food and Agriculture Organization of the United Nations, 2003.

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24

Eder, James F. On the road to tribal extinction: Depopulation, deculturation, and adaptive well-being among the Batak of the Philippines. Berkeley: University of California Press, 1987.

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25

Chang, Mark. Introductory Adaptive Trial Designs. Chapman and Hall/CRC, 2015. http://dx.doi.org/10.1201/b18532.

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26

Chang, Mark. Introductory Adaptive Trial Designs. Taylor & Francis Group, 2019.

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27

Partners, Tsunami. Adaptive Antenna Components Second Field Trial. Era Technology, 1996.

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28

He, Weili, José Pinheiro, and Olga M. Kuznetsova. Practical Considerations for Adaptive Trial Design and Implementation. Springer, 2016.

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29

Yin, Guosheng. Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. Wiley & Sons, Incorporated, John, 2012.

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30

Yin, Guosheng. Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. Wiley & Sons, Incorporated, John, 2013.

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31

He, Weili, José Pinheiro, and Olga M. Kuznetsova. Practical Considerations for Adaptive Trial Design and Implementation. Springer, 2014.

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32

Yin, Guosheng. Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. Wiley & Sons, Incorporated, John, 2013.

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33

Yin, Guosheng. Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. Wiley & Sons, Incorporated, John, 2012.

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34

Park, Jay J. H., Edward J. Mills, and J. Kyle Wathen. Introduction to Adaptive Trial Designs and Master Protocols. Cambridge University Press, 2023.

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35

Yin, Guosheng. Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. Wiley & Sons, Incorporated, John, 2015.

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36

Chang, Mark. Classical and Adaptive Clinical Trial Designs Using ExpDesign Studio. Wiley & Sons, Incorporated, John, 2008.

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37

Chang, Mark. Classical and Adaptive Clinical Trial Designs Using ExpDesign Studio. Wiley & Sons, Incorporated, John, 2010.

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38

Chang, Mark. Introductory Adaptive Trial Designs: A Practical Guide with R. Taylor & Francis Group, 2015.

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39

Chang, Mark. Introductory Adaptive Trial Designs: A Practical Guide with R. Taylor & Francis Group, 2015.

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40

Brunner, Ronald D., and Amanda H. Lynch. Adaptive Governance. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.601.

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Abstract:

Adaptive governance is defined by a focus on decentralized decision-making structures and procedurally rational policy, supported by intensive natural and social science. Decentralized decision-making structures allow a large, complex problem like global climate change to be factored into many smaller problems, each more tractable for policy and scientific purposes. Many smaller problems can be addressed separately and concurrently by smaller communities. Procedurally rational policy in each community is an adaptation to profound uncertainties, inherent in complex systems and cognitive constraints, that limit predictability. Hence planning to meet projected targets and timetables is secondary to continuing appraisal of incremental steps toward long-term goals: What has and hasn’t worked compared to a historical baseline, and why? Each step in such trial-and-error processes depends on politics to balance, if not integrate, the interests of multiple participants to advance their common interest—the point of governance in a free society. Intensive science recognizes that each community is unique because the interests, interactions, and environmental responses of its participants are multiple and coevolve. Hence, inquiry focuses on case studies of particular contexts considered comprehensively and in some detail.Varieties of adaptive governance emerged in response to the limitations of scientific management, the dominant pattern of governance in the 20th century. In scientific management, central authorities sought technically rational policies supported by predictive science to rise above politics and thereby realize policy goals more efficiently from the top down. This approach was manifest in the framing of climate change as an “irreducibly global” problem in the years around 1990. The Intergovernmental Panel on Climate Change (IPCC) was established to assess science for the Conference of the Parties (COP) to the U.N. Framework Convention on Climate Change (UNFCCC). The parties negotiated the Kyoto Protocol that attempted to prescribe legally binding targets and timetables for national reductions in greenhouse gas emissions. But progress under the protocol fell far short of realizing the ultimate objective in Article 1 of the UNFCCC, “stabilization of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference in the climate system.” As concentrations continued to increase, the COP recognized the limitations of this approach in Copenhagen in 2009 and authorized nationally determined contributions to greenhouse gas reductions in the Paris Agreement in 2015.Adaptive governance is a promising but underutilized approach to advancing common interests in response to climate impacts. The interests affected by climate, and their relative priorities, differ from one community to the next, but typically they include protecting life and limb, property and prosperity, other human artifacts, and ecosystem services, while minimizing costs. Adaptive governance is promising because some communities have made significant progress in reducing their losses and vulnerability to climate impacts in the course of advancing their common interests. In doing so, they provide field-tested models for similar communities to consider. Policies that have worked anywhere in a network tend to be diffused for possible adaptation elsewhere in that network. Policies that have worked consistently intensify and justify collective action from the bottom up to reallocate supporting resources from the top down. Researchers can help realize the potential of adaptive governance on larger scales by recognizing it as a complementary approach in climate policy—not a substitute for scientific management, the historical baseline.

41

Weiss, Helen. Design issues in global mental health trials in low-resource settings. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199680467.003.0004.

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Abstract:

In this chapter we outline the key principles in design and analysis of trials for mental health. The chapter focuses on randomized controlled trials as these are the gold-standard trial design, which minimizes confounding due to other factors and enables us to draw conclusions about the effectiveness of the intervention. Other key principles of trial design discussed in the chapter include methods to develop a clearly stated, testable research hypothesis, definition of well-defined outcomes, appropriate choice of the control condition, masking of providers and participants where possible, realistic sample size estimates, and appropriate data monitoring and statistical analysis plans. The chapter also outlines alternatives to the parallel arm superiority trial design, such as equivalence and non-inferiority trials, cross-over, stepped wedge, fixed adaptive, and patient preference trial designs.

42

Architecture of the Field Trial System (Development of Adaptive Basestation Antenna Systems for Use with Current and Future Mobile Communications Systems - Part 2). ERA Technology Ltd, 1997.

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43

Chin, Richard. Adaptive and Flexible Clinical Trials. Taylor & Francis Group, 2016.

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44

Chin, Richard. Adaptive and Flexible Clinical Trials. CRC Press, 2016. http://dx.doi.org/10.1201/b11099.

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45

Chin, Richard. Adaptive and Flexible Clinical Trials. Taylor & Francis Group, 2019.

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46

Chin, Richard. Adaptive and Flexible Clinical Trials. Taylor & Francis Group, 2011.

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47

Chin, Richard. Adaptive and Flexible Clinical Trials. Taylor & Francis Group, 2016.

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48

Chang, Mark, and Shein-Chung Chow. Adaptive Design Methods in Clinical Trials. Taylor & Francis Group, 2010.

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49

Chow, Shein-Chung, and Mark Chang. Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC, 2011. http://dx.doi.org/10.1201/b11505.

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50

Chow, Shein-Chung, and Mark Chang. Adaptive Design Methods in Clinical Trials. Chapman and Hall/CRC, 2006. http://dx.doi.org/10.1201/9781584887775.

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