000			02481cam a22002654a 4500
008			100602s2011 flua b 001 0 eng
020			_a9781439825488
040			_aSDU
050	0	0	_aR853 _bB534 2011
245	0	0	_aBayesian adaptive methods for clinical trials / _cScott M. Berry ... [et al.].
260			_aBoca Raton : _bCRC Press, _c2011.
300			_a305 p. : _bill.
490	1		_aChapman & Hall/CRC biostatistics series ; _v38
505	0		_aStatistical approaches for clinical trials -- Basics of Bayesian inference -- Phase I studies -- Phase II studies -- Phase III studies -- Special topics.
505	0		_aHKBU library
518			_aYT2025 M08
520			_a"As has been well-discussed, the explosion of interest in Bayesian methods over the last 10 to 20 years has been the result of the convergence of modern computing power and ełcient Markov chain Monte Carlo (MCMC) algo- rithms for sampling from and summarizing posterior distributions. Prac- titioners trained in traditional, frequentist statistical methods appear to have been drawn to Bayesian approaches for three reasons. One is that Bayesian approaches implemented with the majority of their informative content coming from the current data, and not any external prior informa- tion, typically have good frequentist properties (e.g., low mean squared er- ror in repeated use). Second, these methods as now readily implemented in WinBUGS and other MCMC-driven software packages now oʼer the simplest approach to hierarchical (random eʼects) modeling, as routinely needed in longitudinal, frailty, spatial, time series, and a wide variety of other settings featuring interdependent data. Third, practitioners are attracted by the greater ʻexibility and adaptivity of the Bayesian approach, which permits stopping for ełcacy, toxicity, and futility, as well as facilitates a straightforward solution to a great many other specialized problems such as dose-nding, adaptive randomization, equivalence testing, and others we shall describe. This book presents the Bayesian adaptive approach to the design and analysis of clinical trials"--Provided by publisher.
650		0	_aClinical trials _xStatistical methods. _9194133
650		0	_aBayesian statistical decision theory.
650	1	2	_aClinical Trials as Topic. _9112900
650	2	2	_aBayes Theorem. _9194134
700	1		_aBerry, Scott M. _9194135
900			_a32450 = C.1 ศูนย์วิทยาศาสตร์
942			_cGBE _2lcc
999			_c104256 _d104256