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008			220909b |||||||| |||| 00| 0 eng d
020			_a9780470581711
037			_cTextbook
040			_aCSL _beng _cCSL
041			_aeng
084			_aB28710bL:f Q2 TB _qCSL
100			_aYin, Guosheng _eauthor _9852164
245		0	_aClinical Trial Design _b: Bayesian and Frequentist Adaptive Methods _c/ by Guosheng Yin
260			_aNew Jersey : _b John wiley , _c2012 .
300			_axvii,346p.
490			_aWiley series in probability and statistics
500			_aReferences 311-328p.; Author index 329-332p.; Subject index 333-336p.
520			_a There has been enormous interest and development in Bayesian adaptive designs, especially for early phases of clinical trials. However, for phase III trials, frequentist methods still play a dominant role through controlling type I and type II errors in the hypothesis testing framework. From practical perspectives, Clinical Trial Design: Bayesian and Frequentist Adaptive Methods provides comprehensive coverage of both Bayesian and frequentist approaches to all phases of clinical trial design. Before underpinning various adaptive methods, the book establishes an overview of the fundamentals of clinical trials as well as a comparison of Bayesian and frequentist statistics.Recognizing that clinical trial design is one of the most important and useful skills in the pharmaceutical industry, this book provides detailed discussions on a variety of statistical designs, their properties, and operating characteristics for phase I, II, and III clinical trials as well as an introduction to phase IV trials. Many practical issues and challenges arising in clinical trials are addressed. Additional topics of coverage include:Risk and benefit analysis for toxicity and efficacy trade-offs Bayesian predictive probability trial monitoring Bayesian adaptive randomization Late onset toxicity and response Dose finding in drug combination trials Targeted therapy designs The author utilizes cutting-edge clinical trial designs and statistical methods that have been employed at the world's leading medical centers as well as in the pharmaceutical industry. The software used throughout the book is freely available on the book's related website, equipping readers with the necessary tools for designing clinical trials.Clinical Trial Design is an excellent book for courses on the topic at the graduate level. The book also serves as a valuable reference for statisticians and biostatisticians in the pharmaceutical industry as well as for researchers and practitioners who design, conduct, and monitor clinical trials in their everyday work.
650			_aBayes theorem. _9852165
650			_aStatistics. _9852166
650			_aClinical trials. _9852167
942			_hB28710bL:f Q2 TB _cTB _2CC _n0
999			_c13315 _d13315