David J. Spiegelhalter's Books

Bayesian Approaches to Clinical Trials and Health-Care Evaluation

By: David J. Spiegelhalter,Keith R. Abrams,Jonathan P. Myles

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Bayesian Approaches to Clinical Trials and Health-Care Evaluation

By: David J. Spiegelhalter,Keith R. Abrams,Jonathan P. Myles

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.

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Page Count

416

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471499757

ISBN 13

9780471499756

Probabilistic Networks and Expert Systems

Exact Computational Methods for Bayesian Networks

By: Robert G. Cowell,Philip Dawid,Steffen L. Lauritzen,David J. Spiegelhalter

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Probabilistic Networks and Expert Systems

Exact Computational Methods for Bayesian Networks

By: Robert G. Cowell,Philip Dawid,Steffen L. Lauritzen,David J. Spiegelhalter

Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.

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Page Count

340

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387718230

ISBN 13

9780387718231

Bayesian Data Analysis, Third Edition

By: Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin

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Bayesian Data Analysis, Third Edition

By: Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

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Page Count

677

Publisher

CRC Press

Published Date

ISBN 10

1439840954

ISBN 13

9781439840955

Book's by David J. Spiegelhalter

Bayesian Approaches to Clinical Trials and Health-Care Evaluation

Bayesian Approaches to Clinical Trials and Health-Care Evaluation

Probabilistic Networks and Expert Systems

Probabilistic Networks and Expert Systems

Bayesian Data Analysis, Third Edition

Bayesian Data Analysis, Third Edition

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