Designs for Clinical Trials: Perspectives on Current Issues: Applied Bioinformatics and Biostatistics in Cancer Research
Editat de David Harringtonen Limba Engleză Paperback – 29 noi 2013
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Specificații
ISBN-13: 9781461429531
ISBN-10: 1461429536
Pagini: 220
Ilustrații: XIV, 206 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:2012
Editura: Springer
Colecția Springer
Seria Applied Bioinformatics and Biostatistics in Cancer Research
Locul publicării:New York, NY, United States
ISBN-10: 1461429536
Pagini: 220
Ilustrații: XIV, 206 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:2012
Editura: Springer
Colecția Springer
Seria Applied Bioinformatics and Biostatistics in Cancer Research
Locul publicării:New York, NY, United States
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Public țintă
ResearchCuprins
New designs for phase I dose finding studies.- Phase II/III designs for trials.- Design issues for clinical studies with genomic measurements.- Designing studies with longitudinal measurements subject to dropout.- Issues in sample size re-estimation.- Adaptive designs.- The design of non-inferiority trials.- Issues in the design of HIV prevention trials.- Randomization algorithms.- Sequential designs for phase III studies.- Case studies of difficult designs.- Ethical issues in the design of trials.- Index.
Recenzii
From the reviews:
“‘Designs for Clinical Trials: Perspectives on Current Issues’ fills the gap between professional journals and school textbooks by addressing a few important, rapidly evolving statistical topics. The book is intended for statistical practitioners like clinical trialists who actively use statistics but do not follow the literature on recent biostatistical thinking.” (Norman M. Goldfarb, Journal of Clinical Research Best Practices, Vol. 9 (2), February, 2013)
“‘Designs for Clinical Trials: Perspectives on Current Issues’ fills the gap between professional journals and school textbooks by addressing a few important, rapidly evolving statistical topics. The book is intended for statistical practitioners like clinical trialists who actively use statistics but do not follow the literature on recent biostatistical thinking.” (Norman M. Goldfarb, Journal of Clinical Research Best Practices, Vol. 9 (2), February, 2013)
Textul de pe ultima copertă
Statistical methods for clinical trials have been an area of active research in Biostatistics since the first modern clinical trials were mounted in 1946 by the British Medical Research Council in whooping cough and tuberculosis. Often, the participants in clinical trials suffer from potentially fatal chronic diseases, and it is especially important that these experiments in medical research use designs that are efficient, can be understood by physicians, policy makers and patients, respond quickly new ideas in medicine and statistics, and, perhaps above all, show respect for the complex and important ethical issues that arise in these settings.
This book explores some recent thinking in designs for clinical trials, including alternative designs for phase I studies, interim monitoring for futility, adaptive designs based on accumulating outcome data, and designs of new, targeted therapies. The book is intended for both the statistical practitioner, who may be too busy to stay abreast of the literature on statistical methods, as well as statisticians conducting research in clinical trials.
This book explores some recent thinking in designs for clinical trials, including alternative designs for phase I studies, interim monitoring for futility, adaptive designs based on accumulating outcome data, and designs of new, targeted therapies. The book is intended for both the statistical practitioner, who may be too busy to stay abreast of the literature on statistical methods, as well as statisticians conducting research in clinical trials.
Caracteristici
Each chapter will be written by an expert conducting research in the topic of that chapter. This book examines current issues and controversies in the design of clinical trials, including topics in adaptive and sequential designs, the design of correlative genomic studies, and the design of studies in which missing data is anticipated. The chapters serve as a guidance for statisticians designing trials.