Bayesian methods in pharmaceutical research / (Record no. 128917)

000 -LEADER
fixed length control field 06298cam a2200457Ii 4500
001 - CONTROL NUMBER
control field 9781315180212
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509193042.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu|||unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200429s2020 flu o 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781315180212
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1315180219
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781138748484
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781351718677
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1351718673
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781351718660
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1351718665
-- (electronic bk. : EPUB)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1152525270
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1152525270
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RS57
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 615.19001519542
Edition number 23
245 00 - TITLE STATEMENT
Title Bayesian methods in pharmaceutical research /
Statement of responsibility, etc edited by Emmanuel Lesaffre, Gianluca Baio, Bruno Boulanger.
264 #1 -
-- Boca Raton, FL :
-- CRC Press,
-- 2020.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxx, 516 pages).
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
490 1# - SERIES STATEMENT
Series statement Chapman & Hall/CRC Biostatistics Series
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Bayesian Background Emmanuel Lesaffre and Gianluca BaioChapter 2: FDA Regulatory Acceptance of Bayesian StatisticsGregory CampbellChapter 3: Bayesian Tail Probabilities for Decision Making Leonhard HeldII Clinical development Chapter 4: Clinical Development in the Light of Bayesian Statistics David OhlssenChapter 5: Prior ElicitationNicky Best, Nigel Dallow, and Timothy MontagueChapter 6: Use of Historical Data Beat Neuenschwander and Heinz SchmidliChapter 7: Dose Ranging Studies and Dose Determination Phil Woodward, Alun Bedding, and David DejardinChapter 8: Bayesian Adaptive Designs in Drug Development Gary L. RosnerChapter 9: Bayesian Methods for Longitudinal Data with MissingnessMichael J. Daniels and Dandan XuChapter 10: Survival Analysis and Censored Data Linda D. Sharples and Nikolaos DemirisChapter 11: Benefit of Bayesian Clustering of Longitudinal Data: Study of CognitiveDecline for Precision Medicine Anais Rouanet, Sylvia Richardson, and Brian TomChapter 12: Bayesian Frameworks for Rare Disease Clinical Development Programs Freda Cooner, Forrest Williamson, and Bradley P. CarlinChapter 13: Bayesian Hierarchical Models for Data Extrapolation and Analysis inPediatric Disease Clinical Trials Cynthia Basu and Bradley P. CarlinIII Post-marketing Chapter 14: Bayesian Methods for Meta-AnalysisNicky J Welton, Haley E Jones, and Sofia DiasChapter 15: Economic Evaluation and Cost-E_ectiveness of Health Care InterventionsNicky J Welton, Mark Strong, Christopher Jackson, and Gianluca BaioChapter 16: Bayesian Modeling for Economic Evaluation Using "Real World Evidence"Gianluca BaioChapter 17: Bayesian Bene_t-Risk Evaluation in Pharmaceutical Research Carl Di Casoli, Yueqin Zhao, Yannis Jemiai, Pritibha Singh, and Maria CostaIV Product development and manufacturing Chapter 18: Product Development and Manufacturing Bruno Boulanger and Timothy MutsvariChapter 19: Process Development and Validation John J. PetersonChapter 20: Analytical Method and Assay Pierre Lebrun and Eric RozetChapter 21: Bayesian Methods for the Design and Analysis of Stability Studies Tonakpon Hermane Avohou, Pierre Lebrun, Eric Rozet, and Bruno BoulangerChapter 22: Content Uniformity Testing Steven Novick and Bu_y Hudson-CurtisChapter 23: Bayesian methods for in vitro dissolution drug testing and similaritycomparisons Linas Mockus and Dave LeBlondChapter 24: Bayesian Statistics for Manufacturing Tara Scherder and Katherine GiacolettiV Additional topics Chapter 25: Bayesian Statistical Methodology in the Medical Device Industry Tarek HaddadChapter 26: Program and Portfolio Decision-Making Nitin Patel, Charles Liu, Masanori Ito, Yannis Jemiai, Suresh Ankolekar, and YusukeYamaguchi
520 ## - SUMMARY, ETC.
Summary, etc Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research. Emmanuel Lesaffre is Professor of Biostatistics at KU Leuven, Belgium. Gianluca Baio is Professor of Statistics and Health Economics at University College London, UK. Bruno Boulanger is Chief Scientific Officer at PharmaLex, Belgium.
500 ## - GENERAL NOTE
General note Includes index.
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pharmacy
General subdivision Research
-- Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lesaffre, Emmanuel,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Baio, Gianluca,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Boulanger, Bruno,
Relator term editor.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781315180212
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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