Bayesian Decision-theoretic Clinical Trial Design Using Gibbs' Sampling

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (364 download)

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Book Synopsis Bayesian Decision-theoretic Clinical Trial Design Using Gibbs' Sampling by : Gordon K. Mak

Download or read book Bayesian Decision-theoretic Clinical Trial Design Using Gibbs' Sampling written by Gordon K. Mak and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Decision-theoretic Trial Design

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ISBN 13 :
Total Pages : 470 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis Bayesian Decision-theoretic Trial Design by : Ari Moshe Lipsky

Download or read book Bayesian Decision-theoretic Trial Design written by Ari Moshe Lipsky and published by . This book was released on 2009 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Frontiers of Statistical Decision Making and Bayesian Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 1441969446
Total Pages : 631 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Frontiers of Statistical Decision Making and Bayesian Analysis by : Ming-Hui Chen

Download or read book Frontiers of Statistical Decision Making and Bayesian Analysis written by Ming-Hui Chen and published by Springer Science & Business Media. This book was released on 2010-07-24 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.

Optimal Adaptive Group Sequential Design for Phase II Clinical Trials

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Publisher :
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.:/5 (298 download)

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Book Synopsis Optimal Adaptive Group Sequential Design for Phase II Clinical Trials by : Yiyi Chen

Download or read book Optimal Adaptive Group Sequential Design for Phase II Clinical Trials written by Yiyi Chen and published by . This book was released on 2008 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Decision Theoretic Methods for Clinical Trials

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (595 download)

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Book Synopsis Bayesian Decision Theoretic Methods for Clinical Trials by : Say Beng Tan

Download or read book Bayesian Decision Theoretic Methods for Clinical Trials written by Say Beng Tan and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Frontiers of Statistical Decision Making and Bayesian Analysis

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Publisher : Springer
ISBN 13 : 9781441969453
Total Pages : 631 pages
Book Rating : 4.9/5 (694 download)

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Book Synopsis Frontiers of Statistical Decision Making and Bayesian Analysis by : Ming-Hui Chen

Download or read book Frontiers of Statistical Decision Making and Bayesian Analysis written by Ming-Hui Chen and published by Springer. This book was released on 2010-08-05 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.

Application of an Active Comparator-based Benefit-risk Assessment in Evaluating Clinical Trial Design Features of a New Chemical Entity Using a Bayesian Decision-theoretic Framework

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Publisher :
ISBN 13 :
Total Pages : 129 pages
Book Rating : 4.:/5 (664 download)

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Book Synopsis Application of an Active Comparator-based Benefit-risk Assessment in Evaluating Clinical Trial Design Features of a New Chemical Entity Using a Bayesian Decision-theoretic Framework by : Varun Goel

Download or read book Application of an Active Comparator-based Benefit-risk Assessment in Evaluating Clinical Trial Design Features of a New Chemical Entity Using a Bayesian Decision-theoretic Framework written by Varun Goel and published by . This book was released on 2010 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Decision Theory and Related Topics V

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Publisher : Springer Science & Business Media
ISBN 13 : 146122618X
Total Pages : 535 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Statistical Decision Theory and Related Topics V by : Shanti S. Gupta

Download or read book Statistical Decision Theory and Related Topics V written by Shanti S. Gupta and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fifth Purdue International Symposium on Statistical Decision The was held at Purdue University during the period of ory and Related Topics June 14-19,1992. The symposium brought together many prominent leaders and younger researchers in statistical decision theory and related areas. The format of the Fifth Symposium was different from the previous symposia in that in addition to the 54 invited papers, there were 81 papers presented in contributed paper sessions. Of the 54 invited papers presented at the sym posium, 42 are collected in this volume. The papers are grouped into a total of six parts: Part 1 - Retrospective on Wald's Decision Theory and Sequential Analysis; Part 2 - Asymptotics and Nonparametrics; Part 3 - Bayesian Analysis; Part 4 - Decision Theory and Selection Procedures; Part 5 - Probability and Probabilistic Structures; and Part 6 - Sequential, Adaptive, and Filtering Problems. While many of the papers in the volume give the latest theoretical developments in these areas, a large number are either applied or creative review papers.

Bayesian Decision-theoretic Group Sequential Analysis with Survival Endpoints in Phase II Clinical Trials

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ISBN 13 : 9781109864960
Total Pages : 208 pages
Book Rating : 4.8/5 (649 download)

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Book Synopsis Bayesian Decision-theoretic Group Sequential Analysis with Survival Endpoints in Phase II Clinical Trials by : Lili Zhao

Download or read book Bayesian Decision-theoretic Group Sequential Analysis with Survival Endpoints in Phase II Clinical Trials written by Lili Zhao and published by . This book was released on 2006 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: We also extend this idea to piecewise exponential distributions with examples with one fixed change-point and one random change-point.

Designing a Series of Clinical Trials

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (824 download)

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Book Synopsis Designing a Series of Clinical Trials by : Siew Wan Hee

Download or read book Designing a Series of Clinical Trials written by Siew Wan Hee and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents designs for a series of clinical trials where instead of designing clinical trials individually, each of the trials is designed as part of a series of trials. The framework of the design is based on a combination of classical frequentist and Bayesian approaches which is sometimes known as the hybrid approach. The unknown parameter of the treatment efficacy is assumed to be random and follows a prior distribution in the design stage but at the end of the trial a frequentist test statistic is used on the observed data to infer the parameter. The design introduced in Chapter 5 aims to determine an optimum sample size for each trial by optimizing the average power of each trial and the overall resources while fixing the conventional type I error. The design has the exibility to either run sequentially or concurrently. The design is then extended to allow interim analyses in each trial (Chapter 6). The focus of the extended design is on a series of Bayesian decision-theoretic phase II trials and one frequentist phase III trial. At each interim stage, a decision is made based on the expected utilities of subsequent actions. There are four possible actions to choose from, namely, to continue the current trial by recruiting more patients, to initiate a new phase II trial, to abandon the development plan or to proceed to a phase III trial with this treatment against a control arm. For the last action, the phase III trial is designed with the hybrid methodology as described above. Finally, the prior distributions for each treatments are assumed to be correlated and as information is gathered from the previous and current trials, the current and following prior distributions are updated (Chapter 7).

Bayesian Decision Theoretical Methods for Clinical Trials

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ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.:/5 (94 download)

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Book Synopsis Bayesian Decision Theoretical Methods for Clinical Trials by :

Download or read book Bayesian Decision Theoretical Methods for Clinical Trials written by and published by . This book was released on 1999 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian decision theoretic approach to experimental design with application to usability experiments

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Bayesian decision theoretic approach to experimental design with application to usability experiments by : Pamela Valks

Download or read book Bayesian decision theoretic approach to experimental design with application to usability experiments written by Pamela Valks and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Adaptive Methods for Clinical Trials

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Publisher : CRC Press
ISBN 13 : 1439825513
Total Pages : 316 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Adaptive Methods for Clinical Trials by : Scott M. Berry

Download or read book Bayesian Adaptive Methods for Clinical Trials written by Scott M. Berry and published by CRC Press. This book was released on 2010-07-19 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adapti

Statistical Decision Theory and Bayesian Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 147574286X
Total Pages : 633 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Statistical Decision Theory and Bayesian Analysis by : James O. Berger

Download or read book Statistical Decision Theory and Bayesian Analysis written by James O. Berger and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.

A BAYESIAN DECISION THEORETIC APPROACH TO FIXED SAMPLE SIZE DETERMINATION AND BLINDED SAMPLE SIZE RE-ESTIMATION FOR HYPOTHESIS TESTING

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ISBN 13 :
Total Pages : 113 pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis A BAYESIAN DECISION THEORETIC APPROACH TO FIXED SAMPLE SIZE DETERMINATION AND BLINDED SAMPLE SIZE RE-ESTIMATION FOR HYPOTHESIS TESTING by : Dwaine Stephen Banton

Download or read book A BAYESIAN DECISION THEORETIC APPROACH TO FIXED SAMPLE SIZE DETERMINATION AND BLINDED SAMPLE SIZE RE-ESTIMATION FOR HYPOTHESIS TESTING written by Dwaine Stephen Banton and published by . This book was released on 2016 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis considers two related problems that has application in the field of experimental design for clinical trials: • fixed sample size determination for parallel arm, double-blind survival data analysis to test the hypothesis of no difference in survival functions, and • blinded sample size re-estimation for the same. For the first problem of fixed sample size determination, a method is developed generally for testing of hypothesis, then applied particularly to survival analysis; for the second problem of blinded sample size re-estimation, a method is developed specifically for survival analysis. In both problems, the exponential survival model is assumed. The approach we propose for sample size determination is Bayesian decision theoretical, using explicitly a loss function and a prior distribution. The loss function used is the intrinsic discrepancy loss function introduced by Bernardo and Rueda (2002), and further expounded upon in Bernardo (2011). We use a conjugate prior, and investigate the sensitivity of the calculated sample sizes to specification of the hyper-parameters. For the second problem of blinded sample size re-estimation, we use prior predictive distributions to facilitate calculation of the interim test statistic in a blinded manner while controlling the Type I error. The determination of the test statistic in a blinded manner continues to be nettling problem for researchers. The first problem is typical of traditional experimental designs, while the second problem extends into the realm of adaptive designs. To the best of our knowledge, the approaches we suggest for both problems have never been done hitherto, and extend the current research on both topics. The advantages of our approach, as far as we see it, are unity and coherence of statistical procedures, systematic and methodical incorporation of prior knowledge, and ease of calculation and interpretation.

Randomised Response-Adaptive Designs in Clinical Trials

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Publisher : CRC Press
ISBN 13 : 1584886935
Total Pages : 341 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Randomised Response-Adaptive Designs in Clinical Trials by : Anthony C Atkinson

Download or read book Randomised Response-Adaptive Designs in Clinical Trials written by Anthony C Atkinson and published by CRC Press. This book was released on 2013-12-26 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Randomised Response-Adaptive Designs in Clinical Trials presents methods for the randomised allocation of treatments to patients in sequential clinical trials. Emphasizing the practical application of clinical trial designs, the book is designed for medical and applied statisticians, clinicians, and statisticians in training. After introducing clinical trials in drug development, the authors assess a simple adaptive design for binary responses without covariates. They discuss randomisation and covariate balance in normally distributed responses and cover many important response-adaptive designs for binary responses. The book then develops response-adaptive designs for continuous and longitudinal responses, optimum designs with covariates, and response-adaptive designs with covariates. It also covers response-adaptive designs that are derived by optimising an objective function subject to constraints on the variance of estimated parametric functions. The concluding chapter explores future directions in the development of adaptive designs.

Bayesian Approaches to Clinical Trials and Health-Care Evaluation

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Publisher : John Wiley & Sons
ISBN 13 : 9780471499756
Total Pages : 416 pages
Book Rating : 4.4/5 (997 download)

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Book Synopsis Bayesian Approaches to Clinical Trials and Health-Care Evaluation by : David J. Spiegelhalter

Download or read book Bayesian Approaches to Clinical Trials and Health-Care Evaluation written by David J. Spiegelhalter and published by John Wiley & Sons. This book was released on 2004-01-16 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council’s biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries. Order a copy of this author’s comprehensive text TODAY! The Bayesian approach involves synthesising data and judgement in order to reach conclusions about unknown quantities and make predictions. Bayesian methods have become increasingly popular in recent years, notably in medical research, and although there are a number of books on Bayesian analysis, few cover clinical trials and biostatistical applications in any detail. Bayesian Approaches to Clinical Trials and Health-Care Evaluation provides a valuable overview of this rapidly evolving field, including basic Bayesian ideas, prior distributions, clinical trials, observational studies, evidence synthesis and cost-effectiveness analysis. Covers a broad array of essential topics, building from the basics to more advanced techniques. Illustrated throughout by detailed case studies and worked examples Includes exercises in all chapters Accessible to anyone with a basic knowledge of statistics Authors are at the forefront of research into Bayesian methods in medical research Accompanied by a Web site featuring data sets and worked examples using Excel and WinBUGS - the most widely used Bayesian modelling package Bayesian Approaches to Clinical Trials and Health-Care Evaluation is suitable for students and researchers in medical statistics, statisticians in the pharmaceutical industry, and anyone involved in conducting clinical trials and assessment of health-care technology.