Bayesian adaptive methods for clinical trials (Record no. 179961)

000 -LEADER
fixed length control field 02284cam a22002534a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140323b2011 xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439825488
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 615.50724
Item number B3B2
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Berry, Scott M.
9 (RLIN) 264851
245 00 - TITLE STATEMENT
Title Bayesian adaptive methods for clinical trials
Statement of responsibility, etc. Berry, Scott M.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2011
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 305 p.
365 ## - TRADE PRICE
Price type code UKP
Price amount 62.99
490 1# - SERIES STATEMENT
Series statement Chapman & Hall/CRC Biostatistics Series
Volume/sequential designation Vol. 38
520 ## - SUMMARY, ETC.
Summary, etc. "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 ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Clinical trials - Statistical methods
9 (RLIN) 264852
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory
9 (RLIN) 264853
650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Clinical Trials as Topic
9 (RLIN) 264854
650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayes Theorem
9 (RLIN) 142113
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Carlin, Bradley P.
9 (RLIN) 135657
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lee, J. Jack
9 (RLIN) 264855
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Muller, Peter
9 (RLIN) 264856
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type
        Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library   2014-02-03 6 5402.02 Slot 1734 (2 Floor, East Wing) 1 3 615.50724 B3B2 181289 2015-04-16 2014-02-09 6752.53 2014-01-30 Books

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