Bayesian adaptive methods for clinical trials / (Record no. 104256)

MARC details
000 -LEADER
fixed length control field 02481cam a22002654a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100602s2011 flua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439825488
040 ## - CATALOGING SOURCE
Original cataloging agency SDU
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number R853
Item number B534 2011
245 00 - TITLE STATEMENT
Title Bayesian adaptive methods for clinical trials /
Statement of responsibility, etc. Scott M. Berry ... [et al.].
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. 2011.
300 ## - PHYSICAL DESCRIPTION
Extent 305 p. :
Other physical details ill.
490 1# - SERIES STATEMENT
Series Statement Chapman & Hall/CRC biostatistics series ;
Volume/sequential designation 38
505 0# - Formatted Contents Note
Formatted contents note Statistical approaches for clinical trials -- Basics of Bayesian inference -- Phase I studies -- Phase II studies -- Phase III studies -- Special topics.
505 0# - Formatted Contents Note
Formatted contents note HKBU library
518 ## - DATE/TIME AND PLACE OF AN EVENT NOTE
DATE/TIME AND PLACE OF AN EVENT NOTE YT2025 M08
520 ## - SUMMARY
Summary "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 - SUBJECT
Topical term Clinical trials
General subdivision Statistical methods.
650 #0 - SUBJECT
Topical term Bayesian statistical decision theory.
650 12 - SUBJECT
Topical term Clinical Trials as Topic.
650 22 - SUBJECT
Topical term Bayes Theorem.
700 1# - PERSONAL NAME
Personal name Berry, Scott M.
900 ## - Accession Number
Accession Number 32450 = C.1 ศูนย์วิทยาศาสตร์
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type English Books
Source of classification or shelving scheme Library of Congress Classification
650 #0 - SUBJECT
-- 194133
650 12 - SUBJECT
-- 112900
650 22 - SUBJECT
-- 194134
700 1# - PERSONAL NAME
-- 194135
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification   Available for Loans General Books ศูนย์วิทยาศาสตร์ ศูนย์วิทยาศาสตร์ General Collection 21/08/2025 Donation R853 B534 2011 1000365637 21/08/2025 C.1 21/08/2025 English Books
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